_| _ ._ _ _ _. ._
(_| (/_ |_) _> (_ (_| | |
|
Prioritized Vulnerabilities| Package | Prioritized CVEs | Fix Version | Next Steps |
|---|---|---|---|
| pkg:pypi/pyspark | CVE-2022-33891 | Try to make the CVEs non-reachable by adding the necessary workarounds and validations. Check alternative vulnerability databases for potential upgrade versions. Manifest file: requirements/doc-requirements.txt |
Proactive Measures| Package | Reachable Flows |
|---|---|
| pkg:pypi/langchain-core@0.3.75 | 986 |
| pkg:pypi/sqlalchemy@2.0.43 | 776 |
| pkg:pypi/flask@3.1.2 | 16 |
Vulnerability Disclosure Report| Dependency Tree | Insights | Fix Version | Severity | Score |
|---|---|---|---|---|
azure-identity@1.6.1 ⬅ CVE-2024-35255
|
📓 Indirect dependency |
1.16.1 |
MEDIUM
|
6.8
|
azure-storage-blob@12.0.0 ⬅ CVE-2022-30187
|
📓 Indirect dependency |
12.13.0 |
MEDIUM
|
4.7
|
black@23.7.0 ⬅ CVE-2024-21503
|
📓 Indirect dependency |
24.3.0 |
MEDIUM
|
5.3
|
hyperopt@0.2.7 └── future@1.0.0 ⬅ CVE-2025-50817 |
📓 Indirect dependency
Not maintained
|
|
HIGH
|
7.3
|
h2o@3.46.0.7 ⬅ CVE-2024-8616 h2o@3.46.0.7 ⬅ CVE-2024-8062 h2o@3.46.0.7 ⬅ CVE-2024-7768 h2o@3.46.0.7 ⬅ CVE-2024-7765 h2o@3.46.0.7 ⬅ CVE-2024-6863 h2o@3.46.0.7 ⬅ CVE-2024-6854 h2o@3.46.0.7 ⬅ CVE-2024-5979 h2o@3.46.0.7 ⬅ CVE-2024-5550 h2o@3.46.0.7 ⬅ CVE-2024-10572 h2o@3.46.0.7 ⬅ CVE-2024-10553 h2o@3.46.0.7 ⬅ CVE-2024-10550 h2o@3.46.0.7 ⬅ CVE-2024-10549 h2o@3.46.0.7 ⬅ CVE-2023-6569 |
📓 Indirect dependency |
3.46.0.6 |
HIGH HIGH HIGH HIGH MEDIUM HIGH HIGH MEDIUM HIGH CRITICAL HIGH HIGH CRITICAL |
8.2 7.5 7.5 7.5 6.5 7.1 7.5 5.3 7.5 9.8 7.5 7.5 9.3 |
ipython@8.7.0 ⬅ CVE-2023-24816
|
📓 Indirect dependency |
8.10.0 |
LOW
|
2.0
|
jinja2@3.0.3 ⬅ CVE-2025-27516 jinja2@3.0.3 ⬅ CVE-2024-56326 jinja2@3.0.3 ⬅ CVE-2024-56201 jinja2@3.0.3 ⬅ CVE-2024-34064 jinja2@3.0.3 ⬅ CVE-2024-22195 |
🎯 Used in 9 locations |
3.1.6 |
MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM |
5.4 5.4 5.4 5.4 5.4 |
tensorflow@2.16.2 └── keras@3.11.3 ⬅ CVE-2025-8747 tensorflow@2.16.2 └── keras@3.11.3 ⬅ CVE-2025-1550 tensorflow@2.16.2 └── keras@3.11.3 ⬅ CVE-2024-55459 tensorflow@2.16.2 └── keras@3.11.3 ⬅ CVE-2024-3660 |
📓 Indirect dependency |
3.11.0 |
HIGH
HIGH
MEDIUM
CRITICAL
|
8.8
7.3
5.5
9.3
|
langchain-community@0.3.29 ⬅ CVE-2024-8309 └── langchain-core@0.3.75 ⬅ CVE-2024-8309 └── langchain-openai@0.3.32 ⬅ CVE-2024-8309 └── langchain-text-splitters@0.3.11 ⬅ CVE-2024-8309 └── langchain@0.3.27 ⬅ CVE-2024-8309 langchain-community@0.3.29 ⬅ CVE-2024-3571 └── langchain-core@0.3.75 ⬅ CVE-2024-3571 └── langchain-openai@0.3.32 ⬅ CVE-2024-3571 └── langchain-text-splitters@0.3.11 ⬅ CVE-2024-3571 └── langchain@0.3.27 ⬅ CVE-2024-3571 langchain-community@0.3.29 ⬅ CVE-2024-2965 └── langchain-core@0.3.75 ⬅ CVE-2024-2965 └── langchain-openai@0.3.32 ⬅ CVE-2024-2965 └── langchain-text-splitters@0.3.11 ⬅ CVE-2024-2965 └── langchain@0.3.27 ⬅ CVE-2024-2965 langchain-community@0.3.29 ⬅ CVE-2024-28088 └── langchain-core@0.3.75 ⬅ CVE-2024-28088 └── langchain-openai@0.3.32 ⬅ CVE-2024-28088 └── langchain-text-splitters@0.3.11 ⬅ CVE-2024-28088 └── langchain@0.3.27 ⬅ CVE-2024-28088 langchain-community@0.3.29 ⬅ CVE-2024-0243 └── langchain-core@0.3.75 ⬅ CVE-2024-0243 └── langchain-openai@0.3.32 ⬅ CVE-2024-0243 └── langchain-text-splitters@0.3.11 ⬅ CVE-2024-0243 └── langchain@0.3.27 ⬅ CVE-2024-0243 langchain-community@0.3.29 ⬅ CVE-2023-46229 └── langchain-core@0.3.75 ⬅ CVE-2023-46229 └── langchain-openai@0.3.32 ⬅ CVE-2023-46229 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-46229 └── langchain@0.3.27 ⬅ CVE-2023-46229 langchain-community@0.3.29 ⬅ CVE-2023-39659 └── langchain-core@0.3.75 ⬅ CVE-2023-39659 └── langchain-openai@0.3.32 ⬅ CVE-2023-39659 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-39659 └── langchain@0.3.27 ⬅ CVE-2023-39659 langchain-community@0.3.29 ⬅ CVE-2023-39631 └── langchain-core@0.3.75 ⬅ CVE-2023-39631 └── langchain-openai@0.3.32 ⬅ CVE-2023-39631 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-39631 └── langchain@0.3.27 ⬅ CVE-2023-39631 langchain-community@0.3.29 ⬅ CVE-2023-38896 └── langchain-core@0.3.75 ⬅ CVE-2023-38896 └── langchain-openai@0.3.32 ⬅ CVE-2023-38896 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-38896 └── langchain@0.3.27 ⬅ CVE-2023-38896 langchain-community@0.3.29 ⬅ CVE-2023-38860 └── langchain-core@0.3.75 ⬅ CVE-2023-38860 └── langchain-openai@0.3.32 ⬅ CVE-2023-38860 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-38860 └── langchain@0.3.27 ⬅ CVE-2023-38860 langchain-community@0.3.29 ⬅ CVE-2023-36281 └── langchain-core@0.3.75 ⬅ CVE-2023-36281 └── langchain-openai@0.3.32 ⬅ CVE-2023-36281 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-36281 └── langchain@0.3.27 ⬅ CVE-2023-36281 langchain-community@0.3.29 ⬅ CVE-2023-36258 └── langchain-core@0.3.75 ⬅ CVE-2023-36258 └── langchain-openai@0.3.32 ⬅ CVE-2023-36258 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-36258 └── langchain@0.3.27 ⬅ CVE-2023-36258 langchain-community@0.3.29 ⬅ CVE-2023-36189 └── langchain-core@0.3.75 ⬅ CVE-2023-36189 └── langchain-openai@0.3.32 ⬅ CVE-2023-36189 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-36189 └── langchain@0.3.27 ⬅ CVE-2023-36189 langchain-community@0.3.29 ⬅ CVE-2023-36188 └── langchain-core@0.3.75 ⬅ CVE-2023-36188 └── langchain-openai@0.3.32 ⬅ CVE-2023-36188 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-36188 └── langchain@0.3.27 ⬅ CVE-2023-36188 langchain-community@0.3.29 ⬅ CVE-2023-36095 └── langchain-core@0.3.75 ⬅ CVE-2023-36095 └── langchain-openai@0.3.32 ⬅ CVE-2023-36095 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-36095 └── langchain@0.3.27 ⬅ CVE-2023-36095 langchain-community@0.3.29 ⬅ CVE-2023-34541 └── langchain-core@0.3.75 ⬅ CVE-2023-34541 └── langchain-openai@0.3.32 ⬅ CVE-2023-34541 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-34541 └── langchain@0.3.27 ⬅ CVE-2023-34541 langchain-community@0.3.29 ⬅ CVE-2023-34540 └── langchain-core@0.3.75 ⬅ CVE-2023-34540 └── langchain-openai@0.3.32 ⬅ CVE-2023-34540 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-34540 └── langchain@0.3.27 ⬅ CVE-2023-34540 langchain-community@0.3.29 ⬅ CVE-2023-32786 └── langchain-core@0.3.75 ⬅ CVE-2023-32786 └── langchain-openai@0.3.32 ⬅ CVE-2023-32786 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-32786 └── langchain@0.3.27 ⬅ CVE-2023-32786 langchain-community@0.3.29 ⬅ CVE-2023-32785 └── langchain-core@0.3.75 ⬅ CVE-2023-32785 └── langchain-openai@0.3.32 ⬅ CVE-2023-32785 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-32785 └── langchain@0.3.27 ⬅ CVE-2023-32785 langchain-community@0.3.29 ⬅ CVE-2023-29374 └── langchain-core@0.3.75 ⬅ CVE-2023-29374 └── langchain-openai@0.3.32 ⬅ CVE-2023-29374 └── langchain-text-splitters@0.3.11 ⬅ CVE-2023-29374 └── langchain@0.3.27 ⬅ CVE-2023-29374 |
📓 Indirect dependency |
0.2.5 |
LOW MEDIUM MEDIUM LOW LOW HIGH CRITICAL CRITICAL CRITICAL CRITICAL CRITICAL CRITICAL HIGH CRITICAL CRITICAL CRITICAL CRITICAL HIGH CRITICAL CRITICAL |
2.1 6.5 4.2 2.0 3.7 8.6 9.3 9.8 9.3 9.3 9.3 9.3 8.7 9.8 9.3 9.3 9.3 7.5 9.8 9.3 |
lightgbm@4.6.0 ⬅ CVE-2024-43598
|
📓 Indirect dependency
|
4.6.0
|
HIGH |
8.1 |
lightning@1.8.1 ⬅ CVE-2024-5980 lightning@1.8.1 ⬅ CVE-2024-5452 |
🎯 Used in 4 locations
|
2.3.3
|
CRITICAL CRITICAL |
9.1 9.8 |
banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2025-0628 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2025-0330 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-9606 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-8984 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-6825 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-6587 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-5751 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-5710 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-5225 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-4890 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-4888 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-4264 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-2952 banks@2.2.0 └── litellm@1.76.1 ⬅ CVE-2024-10188 |
📓 Indirect dependency |
1.61.15 |
HIGH
HIGH
HIGH
HIGH
HIGH
HIGH
CRITICAL
MEDIUM
MEDIUM
MEDIUM
HIGH
HIGH
CRITICAL
HIGH
|
8.1
7.5
7.5
7.5
8.8
8.7
9.8
5.3
6.4
4.9
7.0
7.2
9.8
7.5
|
llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2025-6211 └── llama-index-workflows@1.3.0 ⬅ CVE-2025-6211 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2025-6211 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2025-6211 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2025-6211 └── llama-index-cli@0.4.4 ⬅ CVE-2025-6211 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2025-6211 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2025-6211 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2025-6211 └── llama-index-program-openai@0.3.2 ⬅ CVE-2025-6211 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2025-6211 └── llama-index-readers-file@0.4.11 ⬅ CVE-2025-6211 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2025-6211 └── llama-index@0.12.52 ⬅ CVE-2025-6211 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2025-1793 └── llama-index-workflows@1.3.0 ⬅ CVE-2025-1793 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2025-1793 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2025-1793 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2025-1793 └── llama-index-cli@0.4.4 ⬅ CVE-2025-1793 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2025-1793 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2025-1793 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2025-1793 └── llama-index-program-openai@0.3.2 ⬅ CVE-2025-1793 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2025-1793 └── llama-index-readers-file@0.4.11 ⬅ CVE-2025-1793 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2025-1793 └── llama-index@0.12.52 ⬅ CVE-2025-1793 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2025-1752 └── llama-index-workflows@1.3.0 ⬅ CVE-2025-1752 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2025-1752 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2025-1752 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2025-1752 └── llama-index-cli@0.4.4 ⬅ CVE-2025-1752 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2025-1752 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2025-1752 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2025-1752 └── llama-index-program-openai@0.3.2 ⬅ CVE-2025-1752 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2025-1752 └── llama-index-readers-file@0.4.11 ⬅ CVE-2025-1752 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2025-1752 └── llama-index@0.12.52 ⬅ CVE-2025-1752 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2024-4181 └── llama-index-workflows@1.3.0 ⬅ CVE-2024-4181 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2024-4181 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2024-4181 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2024-4181 └── llama-index-cli@0.4.4 ⬅ CVE-2024-4181 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2024-4181 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2024-4181 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2024-4181 └── llama-index-program-openai@0.3.2 ⬅ CVE-2024-4181 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2024-4181 └── llama-index-readers-file@0.4.11 ⬅ CVE-2024-4181 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2024-4181 └── llama-index@0.12.52 ⬅ CVE-2024-4181 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2024-23751 └── llama-index-workflows@1.3.0 ⬅ CVE-2024-23751 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2024-23751 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2024-23751 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2024-23751 └── llama-index-cli@0.4.4 ⬅ CVE-2024-23751 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2024-23751 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2024-23751 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2024-23751 └── llama-index-program-openai@0.3.2 ⬅ CVE-2024-23751 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2024-23751 └── llama-index-readers-file@0.4.11 ⬅ CVE-2024-23751 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2024-23751 └── llama-index@0.12.52 ⬅ CVE-2024-23751 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2024-12911 └── llama-index-workflows@1.3.0 ⬅ CVE-2024-12911 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2024-12911 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2024-12911 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2024-12911 └── llama-index-cli@0.4.4 ⬅ CVE-2024-12911 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2024-12911 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2024-12911 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2024-12911 └── llama-index-program-openai@0.3.2 ⬅ CVE-2024-12911 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2024-12911 └── llama-index-readers-file@0.4.11 ⬅ CVE-2024-12911 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2024-12911 └── llama-index@0.12.52 ⬅ CVE-2024-12911 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2024-12910 └── llama-index-workflows@1.3.0 ⬅ CVE-2024-12910 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2024-12910 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2024-12910 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2024-12910 └── llama-index-cli@0.4.4 ⬅ CVE-2024-12910 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2024-12910 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2024-12910 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2024-12910 └── llama-index-program-openai@0.3.2 ⬅ CVE-2024-12910 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2024-12910 └── llama-index-readers-file@0.4.11 ⬅ CVE-2024-12910 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2024-12910 └── llama-index@0.12.52 ⬅ CVE-2024-12910 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2024-12704 └── llama-index-workflows@1.3.0 ⬅ CVE-2024-12704 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2024-12704 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2024-12704 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2024-12704 └── llama-index-cli@0.4.4 ⬅ CVE-2024-12704 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2024-12704 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2024-12704 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2024-12704 └── llama-index-program-openai@0.3.2 ⬅ CVE-2024-12704 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2024-12704 └── llama-index-readers-file@0.4.11 ⬅ CVE-2024-12704 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2024-12704 └── llama-index@0.12.52 ⬅ CVE-2024-12704 llama-cloud-services@0.6.54 └── llama-index-core@0.12.52.post1 ⬅ CVE-2023-39662 └── llama-index-workflows@1.3.0 ⬅ CVE-2023-39662 └── llama-index-instrumentation@0.4.0 ⬅ CVE-2023-39662 └── llama-index-agent-openai@0.4.12 ⬅ CVE-2023-39662 └── llama-index-llms-openai@0.4.7 ⬅ CVE-2023-39662 └── llama-index-cli@0.4.4 ⬅ CVE-2023-39662 └── llama-index-embeddings-openai@0.3.1 ⬅ CVE-2023-39662 └── llama-index-indices-managed-llama-cloud@0.8.0 ⬅ CVE-2023-39662 └── llama-index-multi-modal-llms-openai@0.5.3 ⬅ CVE-2023-39662 └── llama-index-program-openai@0.3.2 ⬅ CVE-2023-39662 └── llama-index-question-gen-openai@0.3.1 ⬅ CVE-2023-39662 └── llama-index-readers-file@0.4.11 ⬅ CVE-2023-39662 └── llama-index-readers-llama-parse@0.4.0 ⬅ CVE-2023-39662 └── llama-index@0.12.52 ⬅ CVE-2023-39662 |
📓 Indirect dependency |
0.12.41 |
MEDIUM CRITICAL HIGH HIGH CRITICAL HIGH MEDIUM HIGH CRITICAL |
6.5 9.8 7.5 8.8 9.8 7.1 5.9 7.5 9.3 |
llama-index-core@0.12.34 ⬅ CVE-2025-6209 llama-index-core@0.12.34 ⬅ CVE-2025-5472 llama-index-core@0.12.34 ⬅ CVE-2025-5302 llama-index-core@0.12.34 ⬅ CVE-2025-3108 |
📓 Indirect dependency |
0.12.41 |
HIGH MEDIUM HIGH MEDIUM |
7.5 6.5 8.6 5.0 |
torchmetrics@1.8.1 └── nltk@3.9.1 ⬅ CVE-2024-39705 torchmetrics@1.8.1 └── nltk@3.9.1 ⬅ CVE-2021-43854 torchmetrics@1.8.1 └── nltk@3.9.1 ⬅ CVE-2021-3842 torchmetrics@1.8.1 └── nltk@3.9.1 ⬅ CVE-2021-3828 torchmetrics@1.8.1 └── nltk@3.9.1 ⬅ CVE-2019-14751 |
📓 Indirect dependency 📔 Has PoC 📔 Has PoC |
3.9
|
HIGH
HIGH
HIGH
HIGH
HIGH
|
7.5
8.7
8.7
8.7
8.7
|
onnx@1.11.0 ⬅ CVE-2024-7776
onnx@1.11.0 ⬅ CVE-2024-5187
onnx@1.11.0 ⬅ CVE-2024-27319
onnx@1.11.0 ⬅ CVE-2024-27318
onnx@1.11.0 ⬅ CVE-2022-25882
|
📓 Indirect dependency |
1.17.0 |
HIGH
HIGH
MEDIUM
HIGH
HIGH
|
8.1
8.8
4.4
7.5
8.7
|
paddlepaddle@3.1.1 ⬅ CVE-2024-1603 paddlepaddle@3.1.1 ⬅ CVE-2024-0917 paddlepaddle@3.1.1 ⬅ CVE-2024-0818 paddlepaddle@3.1.1 ⬅ CVE-2024-0817 paddlepaddle@3.1.1 ⬅ CVE-2024-0815 paddlepaddle@3.1.1 ⬅ CVE-2024-0521 paddlepaddle@3.1.1 ⬅ CVE-2023-52314 paddlepaddle@3.1.1 ⬅ CVE-2023-52313 paddlepaddle@3.1.1 ⬅ CVE-2023-52312 paddlepaddle@3.1.1 ⬅ CVE-2023-52311 paddlepaddle@3.1.1 ⬅ CVE-2023-52310 paddlepaddle@3.1.1 ⬅ CVE-2023-52309 paddlepaddle@3.1.1 ⬅ CVE-2023-52308 paddlepaddle@3.1.1 ⬅ CVE-2023-52307 paddlepaddle@3.1.1 ⬅ CVE-2023-52306 paddlepaddle@3.1.1 ⬅ CVE-2023-52305 paddlepaddle@3.1.1 ⬅ CVE-2023-52304 paddlepaddle@3.1.1 ⬅ CVE-2023-52303 paddlepaddle@3.1.1 ⬅ CVE-2023-52302 paddlepaddle@3.1.1 ⬅ CVE-2023-38678 paddlepaddle@3.1.1 ⬅ CVE-2023-38677 paddlepaddle@3.1.1 ⬅ CVE-2023-38676 paddlepaddle@3.1.1 ⬅ CVE-2023-38675 paddlepaddle@3.1.1 ⬅ CVE-2023-38674 paddlepaddle@3.1.1 ⬅ CVE-2023-38673 paddlepaddle@3.1.1 ⬅ CVE-2023-38672 paddlepaddle@3.1.1 ⬅ CVE-2023-38671 paddlepaddle@3.1.1 ⬅ CVE-2023-38670 paddlepaddle@3.1.1 ⬅ CVE-2023-38669 paddlepaddle@3.1.1 ⬅ CVE-2022-46742 paddlepaddle@3.1.1 ⬅ CVE-2022-46741 paddlepaddle@3.1.1 ⬅ CVE-2022-45908 |
📓 Indirect dependency |
2.6.0 |
HIGH CRITICAL CRITICAL HIGH HIGH CRITICAL CRITICAL MEDIUM MEDIUM CRITICAL CRITICAL HIGH MEDIUM HIGH MEDIUM MEDIUM HIGH MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM CRITICAL MEDIUM HIGH MEDIUM HIGH CRITICAL CRITICAL CRITICAL |
7.5 9.8 9.1 7.8 8.8 9.3 9.6 4.7 4.7 9.6 9.6 8.2 4.7 8.2 4.7 4.7 8.2 4.7 4.7 4.7 4.7 4.7 4.7 4.7 9.6 4.7 8.3 4.7 8.3 9.3 9.1 9.8 |
matplotlib@3.10.6 └── pillow@11.0.0 ⬅ PYSEC-2023-175 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ GHSA-jgpv-4h4c-xhw3 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ GHSA-4fx9-vc88-q2xc matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2025-48379 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2024-28219 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2023-50447 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2023-4863 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2023-44271 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-45199 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-45198 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-30595 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-24303 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-22817 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-22816 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2022-22815 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-34552 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-28678 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-28677 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-28676 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-28675 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-27923 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-27922 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-27921 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25293 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25292 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25291 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25290 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25289 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25288 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-25287 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2021-23437 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-5313 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-5312 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-5311 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-5310 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-35655 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-35654 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-35653 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-11538 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-10994 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-10379 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-10378 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2020-10177 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2019-19911 matplotlib@3.10.6 └── pillow@11.0.0 ⬅ CVE-2019-16865 |
📓 Indirect dependency |
11.3.0 |
LOW HIGH LOW HIGH HIGH CRITICAL HIGH HIGH HIGH HIGH HIGH HIGH CRITICAL MEDIUM MEDIUM CRITICAL MEDIUM HIGH HIGH HIGH HIGH HIGH HIGH HIGH MEDIUM HIGH HIGH CRITICAL HIGH HIGH HIGH HIGH CRITICAL CRITICAL CRITICAL MEDIUM HIGH HIGH CRITICAL HIGH HIGH HIGH HIGH HIGH HIGH |
2.0 7.5 2.0 7.1 7.3 9.3 8.8 8.7 8.7 8.7 8.7 8.8 9.3 6.9 6.9 9.3 6.8 8.7 8.7 7.1 8.7 8.7 8.7 8.7 6.9 8.7 8.7 9.3 8.8 8.8 8.7 8.3 9.3 9.3 9.3 6.3 8.6 8.3 9.2 7.1 8.7 8.2 7.1 8.7 8.7 |
accelerate@1.10.1 └── psutil@7.0.0 ⬅ CVE-2019-18874 |
🎯 Used in 51 locations
|
5.6.6
|
HIGH
|
8.7
|
llama-index@0.12.52 └── llama-index-readers-file@0.4.11 └── pypdf@5.9.0 ⬅ CVE-2025-55197 |
📓 Indirect dependency |
6.0.0 |
MEDIUM |
6.6 |
pyspark@4.0.0 ⬅ CVE-2023-32007 pyspark@4.0.0 ⬅ CVE-2023-22946 pyspark@4.0.0 ⬅ CVE-2022-33891 pyspark@4.0.0 ⬅ CVE-2022-31777 pyspark@4.0.0 ⬅ CVE-2021-38296 pyspark@4.0.0 ⬅ CVE-2020-9480 pyspark@4.0.0 ⬅ CVE-2019-10099 pyspark@4.0.0 ⬅ CVE-2018-1334 pyspark@4.0.0 ⬅ CVE-2018-11760 |
📓 Indirect dependency 🧾 Reachable 🧾 Reachable ❗ Reachable and Exploitable 🧾 Reachable 🧾 Reachable 🧾 Reachable 🧾 Reachable 🧾 Reachable 🧾 Reachable |
3.3.2 |
HIGH
CRITICAL
HIGH
MEDIUM
HIGH
CRITICAL
HIGH
MEDIUM
MEDIUM
|
8.7
9.9
8.7
5.4
8.7
9.3
8.7
6.0
6.8
|
pkg:pypi/scrapy ⬅ GHSA-mfjm-vh54-3f96 pkg:pypi/scrapy ⬅ GHSA-jm3v-qxmh-hxwv pkg:pypi/scrapy ⬅ GHSA-9x8m-2xpf-crp3 pkg:pypi/scrapy ⬅ GHSA-23j4-mw76-5v7h pkg:pypi/scrapy ⬅ CVE-2024-3574 pkg:pypi/scrapy ⬅ CVE-2024-3572 pkg:pypi/scrapy ⬅ CVE-2024-1968 pkg:pypi/scrapy ⬅ CVE-2024-1892 pkg:pypi/scrapy ⬅ CVE-2022-0577 pkg:pypi/scrapy ⬅ CVE-2021-41125 |
📓 Indirect dependency 📔 Has PoC |
2.11.2 |
MEDIUM MEDIUM MEDIUM MEDIUM HIGH HIGH MEDIUM HIGH MEDIUM MEDIUM |
5.0 4.3 5.0 6.5 7.5 7.5 5.9 7.5 6.5 6.9 |
tensorflow@2.10.0 ⬅ GHSA-xf83-q765-xm6m tensorflow@2.10.0 ⬅ GHSA-cqvq-fvhr-v6hc tensorflow@2.10.0 ⬅ CVE-2023-33976 tensorflow@2.10.0 ⬅ CVE-2023-27579 tensorflow@2.10.0 ⬅ CVE-2023-25801 tensorflow@2.10.0 ⬅ CVE-2023-25676 tensorflow@2.10.0 ⬅ CVE-2023-25675 tensorflow@2.10.0 ⬅ CVE-2023-25674 tensorflow@2.10.0 ⬅ CVE-2023-25673 tensorflow@2.10.0 ⬅ CVE-2023-25672 tensorflow@2.10.0 ⬅ CVE-2023-25671 tensorflow@2.10.0 ⬅ CVE-2023-25670 tensorflow@2.10.0 ⬅ CVE-2023-25669 tensorflow@2.10.0 ⬅ CVE-2023-25668 tensorflow@2.10.0 ⬅ CVE-2023-25667 tensorflow@2.10.0 ⬅ CVE-2023-25666 tensorflow@2.10.0 ⬅ CVE-2023-25665 tensorflow@2.10.0 ⬅ CVE-2023-25664 tensorflow@2.10.0 ⬅ CVE-2023-25663 tensorflow@2.10.0 ⬅ CVE-2023-25662 tensorflow@2.10.0 ⬅ CVE-2023-25661 tensorflow@2.10.0 ⬅ CVE-2023-25660 tensorflow@2.10.0 ⬅ CVE-2023-25659 tensorflow@2.10.0 ⬅ CVE-2023-25658 tensorflow@2.10.0 ⬅ CVE-2022-41911 tensorflow@2.10.0 ⬅ CVE-2022-41910 tensorflow@2.10.0 ⬅ CVE-2022-41909 tensorflow@2.10.0 ⬅ CVE-2022-41908 tensorflow@2.10.0 ⬅ CVE-2022-41907 tensorflow@2.10.0 ⬅ CVE-2022-41902 tensorflow@2.10.0 ⬅ CVE-2022-41901 tensorflow@2.10.0 ⬅ CVE-2022-41900 tensorflow@2.10.0 ⬅ CVE-2022-41899 tensorflow@2.10.0 ⬅ CVE-2022-41898 tensorflow@2.10.0 ⬅ CVE-2022-41897 tensorflow@2.10.0 ⬅ CVE-2022-41896 tensorflow@2.10.0 ⬅ CVE-2022-41895 tensorflow@2.10.0 ⬅ CVE-2022-41894 tensorflow@2.10.0 ⬅ CVE-2022-41893 tensorflow@2.10.0 ⬅ CVE-2022-41891 tensorflow@2.10.0 ⬅ CVE-2022-41890 tensorflow@2.10.0 ⬅ CVE-2022-41889 tensorflow@2.10.0 ⬅ CVE-2022-41888 tensorflow@2.10.0 ⬅ CVE-2022-41887 tensorflow@2.10.0 ⬅ CVE-2022-41886 tensorflow@2.10.0 ⬅ CVE-2022-41884 tensorflow@2.10.0 ⬅ CVE-2022-41883 tensorflow@2.10.0 ⬅ CVE-2022-41880 |
📓 Indirect dependency |
2.12.1 |
LOW LOW HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH CRITICAL MEDIUM HIGH HIGH HIGH HIGH HIGH MEDIUM HIGH HIGH HIGH MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM HIGH MEDIUM HIGH MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM HIGH MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM |
3.1 3.1 8.7 7.5 8.0 7.5 7.5 7.5 7.5 7.5 7.5 7.5 7.5 9.8 6.5 7.5 7.5 7.5 7.5 7.5 6.5 7.5 7.5 7.5 4.8 4.8 4.8 4.8 4.8 7.1 4.8 7.1 4.8 4.8 4.8 4.8 4.8 7.1 4.8 4.8 4.8 5.5 4.8 4.8 4.8 4.8 6.8 6.8 |
torch@1.11.0 ⬅ CVE-2025-3730 torch@1.11.0 ⬅ CVE-2025-32434 torch@1.11.0 ⬅ CVE-2025-2953 torch@1.11.0 ⬅ CVE-2024-48063 torch@1.11.0 ⬅ CVE-2024-31584 torch@1.11.0 ⬅ CVE-2024-31583 torch@1.11.0 ⬅ CVE-2024-31580 torch@1.11.0 ⬅ CVE-2022-45907 |
🎯 Used in 230 locations |
2.7.1-rc1 |
MEDIUM CRITICAL LOW CRITICAL LOW HIGH HIGH CRITICAL |
4.8 9.3 1.9 9.8 2.0 7.8 8.7 9.3 |
huggingface-hub@0.34.4 └── tqdm@4.67.1 ⬅ CVE-2024-34062 |
📓 Indirect dependency |
4.66.3 |
LOW |
3.9 |
torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-5197 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-3933 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-3777 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-3264 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-3263 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-3262 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-2099 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2025-1194 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2024-3568 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2024-12720 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2024-11394 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2024-11393 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2024-11392 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2023-7018 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2023-6730 torchmetrics@1.8.1 └── transformers@4.56.0 ⬅ CVE-2023-2800 |
📓 Indirect dependency ❗ Known Exploits ❗ Known Exploits ❗ Known Exploits 📔 Has PoC |
4.53.0 |
MEDIUM MEDIUM LOW MEDIUM MEDIUM MEDIUM MEDIUM MEDIUM LOW MEDIUM HIGH HIGH HIGH HIGH CRITICAL MEDIUM |
5.3 5.3 3.5 5.3 5.3 5.3 5.3 4.3 3.4 5.3 8.8 8.8 7.5 7.8 9.0 4.7 |
Service Endpoints| URL Pattern | HTTP Methods | Code Hotspots |
|---|---|---|
| /health | GET HEAD OPTIONS |
build/lib/mlflow/pyfunc/scoring_server/__init__.py#485 libs/skinny/mlflow/pyfunc/scoring_server/__init__.py#485 libs/tracing/mlflow/pyfunc/scoring_server/__init__.py#485 mlflow/pyfunc/scoring_server/__init__.py#485 |
| /invocations | GET HEAD OPTIONS POST |
build/lib/mlflow/pyfunc/scoring_server/__init__.py#502 libs/skinny/mlflow/pyfunc/scoring_server/__init__.py#502 libs/tracing/mlflow/pyfunc/scoring_server/__init__.py#502 mlflow/pyfunc/scoring_server/__init__.py#502 |
| /ping | GET HEAD OPTIONS |
build/lib/mlflow/pyfunc/scoring_server/__init__.py#484 libs/skinny/mlflow/pyfunc/scoring_server/__init__.py#484 libs/tracing/mlflow/pyfunc/scoring_server/__init__.py#484 mlflow/pyfunc/scoring_server/__init__.py#484 |
| /version | GET HEAD OPTIONS |
build/lib/mlflow/pyfunc/scoring_server/__init__.py#495 libs/skinny/mlflow/pyfunc/scoring_server/__init__.py#495 libs/tracing/mlflow/pyfunc/scoring_server/__init__.py#495 mlflow/pyfunc/scoring_server/__init__.py#495 |
Reachable Flows| Summary | Flows | Reachable Packages |
|---|---|---|
| Reachable data-flow. | mlflow/utils/rest_utils.py#58 http_request(host_creds) ↩ Tags: framework-input ├── mlflow/utils/rest_utils.py#101 host_creds.host ├── mlflow/utils/string_utils.py#15 strip_suffix(original) ↩ ├── mlflow/utils/string_utils.py#16 original.endswith(suffix) ├── mlflow/utils/string_utils.py#17 original[Slice(None,Some(UnaryOp(USub,Call(Name(len,17,28,17,30),Buffer(Name(suffix,17,32,17,37)),Buffer(),17,28,17,38),17,27,17,38)),None,17,25,17,38)] ├── mlflow/utils/rest_utils.py#101 strip_suffix(host_creds.host, "/") │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/utils/rest_utils.py#102 {cleaned_hostname} ├── mlflow/utils/rest_utils.py#232 _get_http_response_with_retries(method, url, max_retries, backoff_factor, backoff_jitter, retry_codes, raise_on_status, headers = headers, verify = host_creds.verify, timeout = timeout, │ respect_retry_after_header = respect_retry_after_header) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/utils/request_utils.py#195 _get_http_response_with_retries(url) ↩ ├── mlflow/utils/request_utils.py#237 session.request(method, url, allow_redirects = allow_redirects) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#137 http_request(host_creds = get_databricks_host_creds(self.target_uri), endpoint = posixpath.join(prefix, "serving-endpoints", route or ""), method = method, │ timeout = MLFLOW_HTTP_REQUEST_TIMEOUT.get() if timeout is None else timeout, raise_on_status = False, retry_codes = MLFLOW_DEPLOYMENT_CLIENT_REQUEST_RETRY_CODES, extra_headers = tmp1 = {} │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#147 augmented_raise_for_status(response) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ └── build/lib/mlflow/deployments/databricks/__init__.py#148 response.json() Tags: pkg:pypi/mlflow@3.3.3.dev0 |
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| Reachable data-flow. | mlflow/utils/rest_utils.py#60 http_request(method) ↩ Tags: framework-input ├── mlflow/utils/rest_utils.py#146 kwargs.get("json") ├── mlflow/utils/rest_utils.py#147 kwargs.get("files") ├── mlflow/utils/rest_utils.py#148 kwargs.get("data") ├── mlflow/utils/rest_utils.py#146 kwargs.get("json") ⤴ ├── mlflow/utils/rest_utils.py#143 tmp0.do(method = method, path = endpoint, headers = headers, raw = True, query = kwargs.get("params"), body = kwargs.get("json"), files = kwargs.get("files"), data = kwargs.get("data")) ├── mlflow/utils/rest_utils.py#147 kwargs.get("files") ⤴ ├── mlflow/utils/rest_utils.py#145 kwargs.get("params") ⤴ ├── mlflow/utils/rest_utils.py#231 _get_http_response_with_retries(method, url, max_retries, backoff_factor, backoff_jitter, retry_codes, raise_on_status, headers = headers, verify = host_creds.verify, timeout = timeout, │ respect_retry_after_header = respect_retry_after_header) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/utils/request_utils.py#194 _get_http_response_with_retries(method) ↩ ├── mlflow/utils/request_utils.py#237 session.request(method, url, allow_redirects = allow_redirects) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#137 http_request(host_creds = get_databricks_host_creds(self.target_uri), endpoint = posixpath.join(prefix, "serving-endpoints", route or ""), method = method, │ timeout = MLFLOW_HTTP_REQUEST_TIMEOUT.get() if timeout is None else timeout, raise_on_status = False, retry_codes = MLFLOW_DEPLOYMENT_CLIENT_REQUEST_RETRY_CODES, extra_headers = tmp1 = {} │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#147 augmented_raise_for_status(response) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ └── build/lib/mlflow/deployments/databricks/__init__.py#148 response.json() Tags: pkg:pypi/mlflow@3.3.3.dev0 |
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| Reachable data-flow. | mlflow/utils/rest_utils.py#70 http_request(kwargs) ↩ Tags: framework-input ├── mlflow/utils/rest_utils.py#146 kwargs.get("json") ├── mlflow/utils/rest_utils.py#147 kwargs.get("files") ├── mlflow/utils/rest_utils.py#148 kwargs.get("data") ├── mlflow/utils/rest_utils.py#146 kwargs.get("json") ⤴ ├── mlflow/utils/rest_utils.py#143 tmp0.do(method = method, path = endpoint, headers = headers, raw = True, query = kwargs.get("params"), body = kwargs.get("json"), files = kwargs.get("files"), data = kwargs.get("data")) ├── mlflow/utils/rest_utils.py#147 kwargs.get("files") ⤴ ├── mlflow/utils/rest_utils.py#145 kwargs.get("params") ⤴ ├── mlflow/utils/rest_utils.py#231 _get_http_response_with_retries(method, url, max_retries, backoff_factor, backoff_jitter, retry_codes, raise_on_status, headers = headers, verify = host_creds.verify, timeout = timeout, │ respect_retry_after_header = respect_retry_after_header) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/utils/request_utils.py#194 _get_http_response_with_retries(method) ↩ ├── mlflow/utils/request_utils.py#237 session.request(method, url, allow_redirects = allow_redirects) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#137 http_request(host_creds = get_databricks_host_creds(self.target_uri), endpoint = posixpath.join(prefix, "serving-endpoints", route or ""), method = method, │ timeout = MLFLOW_HTTP_REQUEST_TIMEOUT.get() if timeout is None else timeout, raise_on_status = False, retry_codes = MLFLOW_DEPLOYMENT_CLIENT_REQUEST_RETRY_CODES, extra_headers = tmp1 = {} │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/deployments/databricks/__init__.py#147 augmented_raise_for_status(response) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ └── build/lib/mlflow/deployments/databricks/__init__.py#148 response.json() Tags: pkg:pypi/mlflow@3.3.3.dev0 |
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| argument chat_request ⭕ to the function _convert_chat_request can be used to reach 2 packages from certain endpoints. | build/lib/mlflow/langchain/utils/chat.py#253 _convert_chat_request(chat_request) ↩ Tags: framework-input ├── build/lib/mlflow/langchain/utils/chat.py#254 isinstance(chat_request, list) ├── build/lib/mlflow/langchain/utils/chat.py#255 chat_request.__iter__() ├── build/lib/mlflow/langchain/utils/chat.py#247 _convert_chat_request_or_throw(chat_request) ↩ ├── build/lib/mlflow/langchain/utils/chat.py#249 ChatCompletionRequest.validate_compat(chat_request) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/langchain/utils/chat.py#250 model.messages ├── build/lib/mlflow/langchain/utils/chat.py#88 _chat_model_to_langchain_message(message) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/utils/chat.py#99 message.tool_call_id │ Tags: pkg:pypi/langchain-core@0.3.75, framework │ ├── build/lib/mlflow/langchain/utils/chat.py#250 _chat_model_to_langchain_message(message) │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ └── build/lib/mlflow/langchain/utils/chat.py#255 _convert_chat_request_or_throw(request) |
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| argument json_message ⭕ to the function json_dict_might_be_chat_request can be used to reach 2 packages from certain endpoints. ◽ Verify that the mitigation(s) used in this flow are valid and appropriate for your security requirements. |
build/lib/mlflow/langchain/utils/chat.py#318 json_dict_might_be_chat_request(json_message) ↩ Tags: framework-input ├── build/lib/mlflow/langchain/utils/chat.py#320 isinstance(json_message, dict) ├── build/lib/mlflow/langchain/utils/chat.py#321 "messages" in json_message ├── build/lib/mlflow/langchain/utils/chat.py#338 json_dict_might_be_chat_request(request_json) ├── build/lib/mlflow/langchain/utils/chat.py#330 is_list_of_chat_messages(json_message) ↩ │ Tags: validation │ ├── build/lib/mlflow/langchain/utils/chat.py#331 isinstance(json_message, list) ├── build/lib/mlflow/langchain/utils/chat.py#332 json_message.__iter__() ├── build/lib/mlflow/langchain/utils/chat.py#349 _convert_chat_request(request_json) ├── build/lib/mlflow/langchain/utils/chat.py#253 _convert_chat_request(chat_request) ↩ │ Tags: framework-input │ ├── build/lib/mlflow/langchain/utils/chat.py#254 isinstance(chat_request, list) ├── build/lib/mlflow/langchain/utils/chat.py#255 chat_request.__iter__() ├── build/lib/mlflow/langchain/utils/chat.py#247 _convert_chat_request_or_throw(chat_request) ↩ ├── build/lib/mlflow/langchain/utils/chat.py#249 ChatCompletionRequest.validate_compat(chat_request) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/langchain/utils/chat.py#250 model.messages ├── build/lib/mlflow/langchain/utils/chat.py#88 _chat_model_to_langchain_message(message) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/utils/chat.py#99 message.tool_call_id │ Tags: pkg:pypi/langchain-core@0.3.75, framework │ ├── build/lib/mlflow/langchain/utils/chat.py#250 _chat_model_to_langchain_message(message) │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ └── build/lib/mlflow/langchain/utils/chat.py#255 _convert_chat_request_or_throw(request) |
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| argument chat_request ⭕ to the function _convert_chat_request can be used to reach 2 packages from certain endpoints. | build/lib/mlflow/langchain/utils/chat.py#253 _convert_chat_request(chat_request) ↩ Tags: framework-input ├── build/lib/mlflow/langchain/utils/chat.py#254 isinstance(chat_request, list) ├── build/lib/mlflow/langchain/utils/chat.py#257 _convert_chat_request_or_throw(chat_request) ├── build/lib/mlflow/langchain/utils/chat.py#247 _convert_chat_request_or_throw(chat_request) ↩ ├── build/lib/mlflow/langchain/utils/chat.py#249 ChatCompletionRequest.validate_compat(chat_request) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/langchain/utils/chat.py#250 model.messages ├── build/lib/mlflow/langchain/utils/chat.py#88 _chat_model_to_langchain_message(message) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/utils/chat.py#99 message.tool_call_id │ Tags: pkg:pypi/langchain-core@0.3.75, framework │ └── build/lib/mlflow/langchain/utils/chat.py#250 _chat_model_to_langchain_message(message) Tags: pkg:pypi/langchain-core@0.3.75, framework, ml |
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| argument col ↩ to the function _infer_required can be used to reach 3 packages. | build/lib/mlflow/types/utils.py#514 _infer_required(col) ↩ Tags: framework-input ├── build/lib/mlflow/types/utils.py#515 isinstance(col, (list, pd.Series)) │ Tags: pkg:pypi/pyspark, pkg:pypi/pyspark@3.5.6, pkg:pypi/pyspark@4.0.0 │ ├── build/lib/mlflow/types/utils.py#516 col.__iter__() │ Tags: pkg:pypi/pyspark, pkg:pypi/pyspark@3.5.6, pkg:pypi/pyspark@4.0.0 │ ├── build/lib/mlflow/types/utils.py#507 _is_none_or_nan(x) ↩ ├── build/lib/mlflow/types/utils.py#508 isinstance(x, float) ├── build/lib/mlflow/types/utils.py#511 x is None └── build/lib/mlflow/types/utils.py#516 _is_none_or_nan(x) |
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| argument col ↩ to the function _infer_required can be used to reach 3 packages. | build/lib/mlflow/types/utils.py#514 _infer_required(col) ↩ Tags: framework-input ├── build/lib/mlflow/types/utils.py#515 isinstance(col, (list, pd.Series)) │ Tags: pkg:pypi/pyspark, pkg:pypi/pyspark@3.5.6, pkg:pypi/pyspark@4.0.0 │ ├── build/lib/mlflow/types/utils.py#517 _is_none_or_nan(col) │ Tags: pkg:pypi/pyspark, pkg:pypi/pyspark@3.5.6, pkg:pypi/pyspark@4.0.0 │ ├── build/lib/mlflow/types/utils.py#507 _is_none_or_nan(x) ↩ ├── build/lib/mlflow/types/utils.py#508 isinstance(x, float) ├── build/lib/mlflow/types/utils.py#511 x is None └── build/lib/mlflow/types/utils.py#517 _is_none_or_nan(col) |
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| argument input ⭕ to the function invoke<metaClassAdapter> can be used to reach this package from certain endpoints. | build/lib/mlflow/langchain/chat_agent_langgraph.py#308 invoke<metaClassAdapter>(input) ↩ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#315 input["messages"] ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#316 messages.__iter__() ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#320 convert_to_messages(messages) │ Tags: pkg:pypi/langchain-core@0.3.75, framework │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#322 tmp19.invoke(input, config) │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#326 result["messages"] ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#328 m.content ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#339 parse_message(m, attachments = return_obj.get("attachments")) ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#279 parse_message(msg) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#341 parse_message(m) └── build/lib/mlflow/langchain/chat_agent_langgraph.py#284 convert_lc_message_to_chat_message(msg) Tags: pkg:pypi/langchain-core@0.3.75, framework, ml |
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| argument input ⭕ to the function invoke can be used to reach this package from certain endpoints. | build/lib/mlflow/langchain/chat_agent_langgraph.py#308 invoke(input) ↩ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#315 input["messages"] ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#316 messages.__iter__() ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#320 convert_to_messages(messages) │ Tags: pkg:pypi/langchain-core@0.3.75, framework │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#322 tmp19.invoke(input, config) │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#326 result["messages"] ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#328 m.content ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#339 parse_message(m, attachments = return_obj.get("attachments")) ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#279 parse_message(msg) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#341 parse_message(m) └── build/lib/mlflow/langchain/chat_agent_langgraph.py#284 convert_lc_message_to_chat_message(msg) Tags: pkg:pypi/langchain-core@0.3.75, framework, ml |
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| argument self ⭕ to the function get_logged_model can be used to reach 2 packages from certain endpoints. | mlflow/tracking/client.py#5447 get_logged_model(self) ↩ Tags: cli-source ├── mlflow/tracking/client.py#5458 self._tracking_client ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#772 tmp122.get_logged_model(parsed_model_uri.model_id) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#774 model.source_run_id ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#785 not run_id ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#803 SqlModelVersion(name = name, version = version, creation_time = creation_time, last_updated_time = creation_time, source = source, storage_location = │ storage_location, run_id = run_id, run_link = run_link, description = description) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#813 │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#816 model_version.to_mlflow_entity() │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/store/model_registry/dbmodels/models.py#113 to_mlflow_entity(self) ↩ ├── mlflow/store/model_registry/dbmodels/models.py#126 self.model_version_tags ├── mlflow/store/model_registry/dbmodels/models.py#115 self.name ├── mlflow/store/model_registry/dbmodels/models.py#121 self.current_stage ├── mlflow/store/model_registry/dbmodels/models.py#127 self.run_link ├── mlflow/store/model_registry/dbmodels/models.py#116 self.version ├── mlflow/store/model_registry/dbmodels/models.py#118 self.last_updated_time ├── mlflow/store/model_registry/dbmodels/models.py#122 self.source ├── mlflow/store/model_registry/dbmodels/models.py#120 self.user_id ├── mlflow/store/model_registry/dbmodels/models.py#125 self.status_message ├── mlflow/store/model_registry/dbmodels/models.py#117 self.creation_time ├── mlflow/store/model_registry/dbmodels/models.py#123 self.run_id ├── mlflow/store/model_registry/dbmodels/models.py#119 self.description ├── mlflow/store/model_registry/dbmodels/models.py#124 self.status ├── mlflow/store/model_registry/dbmodels/models.py#114 ModelVersion(self.name, self.version, self.creation_time, self.last_updated_time, self.description, self.user_id, self.current_stage, self.source, self.run_id, │ self.status, self.status_message, tmp12 = [] ⤴ │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#822 _logger.info("Model Version creation error (name=%s) Retrying %s more time%s.", name, str(more_retries), "s" if more_retries > 1 else "") ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#793 self._get_registered_model(session, name) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#814 session.flush() │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#815 self._populate_model_version_aliases(session, name, model_version.to_mlflow_entity()) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#791 self.CREATE_MODEL_VERSION_RETRIES ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#793 self._get_registered_model(session, name) ⤴ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#795 next_version(sql_registered_model) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#755 next_version(sql_registered_model) ↩ └── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#757 sql_registered_model.model_versions |
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| argument self ⭕ to the function get_logged_model can be used to reach 2 packages from certain endpoints. | mlflow/tracking/client.py#5447 get_logged_model(self) ↩ Tags: cli-source ├── mlflow/tracking/client.py#5458 self._tracking_client ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#786 tmp123.get_logged_model(model_id) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#787 model.source_run_id ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#803 SqlModelVersion(name = name, version = version, creation_time = creation_time, last_updated_time = creation_time, source = source, storage_location = │ storage_location, run_id = run_id, run_link = run_link, description = description) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#813 │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#816 model_version.to_mlflow_entity() │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/store/model_registry/dbmodels/models.py#113 to_mlflow_entity(self) ↩ ├── mlflow/store/model_registry/dbmodels/models.py#126 self.model_version_tags ├── mlflow/store/model_registry/dbmodels/models.py#115 self.name ├── mlflow/store/model_registry/dbmodels/models.py#121 self.current_stage ├── mlflow/store/model_registry/dbmodels/models.py#127 self.run_link ├── mlflow/store/model_registry/dbmodels/models.py#116 self.version ├── mlflow/store/model_registry/dbmodels/models.py#118 self.last_updated_time ├── mlflow/store/model_registry/dbmodels/models.py#122 self.source ├── mlflow/store/model_registry/dbmodels/models.py#120 self.user_id ├── mlflow/store/model_registry/dbmodels/models.py#125 self.status_message ├── mlflow/store/model_registry/dbmodels/models.py#117 self.creation_time ├── mlflow/store/model_registry/dbmodels/models.py#123 self.run_id ├── mlflow/store/model_registry/dbmodels/models.py#119 self.description ├── mlflow/store/model_registry/dbmodels/models.py#124 self.status ├── mlflow/store/model_registry/dbmodels/models.py#114 ModelVersion(self.name, self.version, self.creation_time, self.last_updated_time, self.description, self.user_id, self.current_stage, self.source, self.run_id, │ self.status, self.status_message, tmp12 = [] ⤴ │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#822 _logger.info("Model Version creation error (name=%s) Retrying %s more time%s.", name, str(more_retries), "s" if more_retries > 1 else "") ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#793 self._get_registered_model(session, name) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#814 session.flush() │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#815 self._populate_model_version_aliases(session, name, model_version.to_mlflow_entity()) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#791 self.CREATE_MODEL_VERSION_RETRIES ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#793 self._get_registered_model(session, name) ⤴ ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#795 next_version(sql_registered_model) ├── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#755 next_version(sql_registered_model) ↩ └── build/lib/mlflow/store/model_registry/sqlalchemy_store.py#757 sql_registered_model.model_versions |
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| argument name ⭕ to the function get_experiment_by_name can be used to reach 2 packages from certain endpoints. | mlflow/tracking/client.py#1706 get_experiment_by_name(name) ↩ Tags: cli-source ├── mlflow/tracking/client.py#1738 tmp46.get_experiment_by_name(name) ├── mlflow/tracking/fluent.py#3013 tmp161.get_experiment_by_name(experiment_name) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/tracking/fluent.py#3015 exp.experiment_id ├── mlflow/tracking/fluent.py#3018 {experiment_id} ├── mlflow/tracking/fluent.py#3026 experiment_id is not None ├── mlflow/tracking/fluent.py#3028 tmp163.get_experiment(experiment_id) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── mlflow/tracking/client.py#1672 get_experiment(experiment_id) ↩ │ Tags: cli-source │ ├── mlflow/tracking/client.py#1704 tmp45.get_experiment(experiment_id) ├── mlflow/tracking/fluent.py#3043 _get_experiment_id_from_env() │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#884 _get_experiment_id() │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#880 metric.key ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#883 SqlLoggedModelMetric(model_id = metric.model_id, metric_name = metric.key, metric_timestamp_ms = metric.timestamp, metric_step = metric.step, metric_value = │ value, experiment_id = experiment_id or _get_experiment_id(), run_id = run_id, dataset_uuid = dataset_uuid, dataset_name = metric.dataset_name, dataset_digest = metric.dataset_digest) │ Tags: pkg:pypi/mlflow@3.3.3.dev0 │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#881 metric.timestamp ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#888 metric.dataset_digest ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#877 metric_instances.append(SqlLoggedModelMetric(model_id = metric.model_id, metric_name = metric.key, metric_timestamp_ms = metric.timestamp, metric_step = │ metric.step, metric_value = value, experiment_id = experiment_id or _get_experiment_id(), run_id = run_id, dataset_uuid = dataset_uuid, dataset_name = metric.dataset_name, dataset_digest = metric.dataset_digest)) └── build/lib/mlflow/store/tracking/sqlalchemy_store.py#894 session.add_all(metric_instances) Tags: pkg:pypi/sqlalchemy@2.0.43, framework |
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| argument session ⭕ to the function _apply_order_by_search_logged_models<metaClassAdapter> can be used to reach this package from certain endpoints. | build/lib/mlflow/store/tracking/sqlalchemy_store.py#2261 _apply_order_by_search_logged_models<metaClassAdapter>(session) ↩ Tags: pkg:pypi/sqlalchemy@2.0.43, framework ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2258 _apply_order_by_search_logged_models(self, models, session, order_by) │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2261 _apply_order_by_search_logged_models(session) ↩ │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2304 session.query(SqlLoggedModelMetric.model_id, SqlLoggedModelMetric.metric_value, tmp516 = tmp519 = func.rank() │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ └── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2305 SqlLoggedModelMetric.model_id Tags: pkg:pypi/sqlalchemy@2.0.43, framework |
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| argument session ⭕ to the function _apply_order_by_search_logged_models<metaClassAdapter> can be used to reach this package from certain endpoints. | build/lib/mlflow/store/tracking/sqlalchemy_store.py#2261 _apply_order_by_search_logged_models<metaClassAdapter>(session) ↩ Tags: pkg:pypi/sqlalchemy@2.0.43, framework ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2258 _apply_order_by_search_logged_models(self, models, session, order_by) │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2261 _apply_order_by_search_logged_models(session) ↩ │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ ├── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2304 session.query(SqlLoggedModelMetric.model_id, SqlLoggedModelMetric.metric_value, tmp516 = tmp519 = func.rank() │ Tags: pkg:pypi/sqlalchemy@2.0.43, framework │ └── build/lib/mlflow/store/tracking/sqlalchemy_store.py#2306 SqlLoggedModelMetric.metric_value Tags: pkg:pypi/sqlalchemy@2.0.43, framework |
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| argument msg ⭕ to the function parse_message can be used to reach this package from certain endpoints. | build/lib/mlflow/langchain/chat_agent_langgraph.py#279 parse_message(msg) ↩ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#339 parse_message(m, attachments = return_obj.get("attachments")) ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#341 parse_message(m) ├── build/lib/mlflow/langchain/chat_agent_langgraph.py#284 convert_lc_message_to_chat_message(msg) │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ ├── mlflow/langchain/utils/chat.py#48 convert_lc_message_to_chat_message(lc_message) ↩ │ Tags: pkg:pypi/langchain-core@0.3.75, framework, ml │ └── build/lib/mlflow/langchain/chat_agent_langgraph.py#286 msg.name Tags: pkg:pypi/langchain-core@0.3.75, framework, ml |
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| argument engine ⭕ to the function migrate can be used to reach 2 packages from certain endpoints. | build/lib/mlflow/server/auth/db/utils.py#24 migrate(engine) ↩ Tags: pkg:pypi/sqlalchemy@2.0.43, framework ├── build/lib/mlflow/server/auth/db/utils.py#25 engine.url ├── build/lib/mlflow/server/auth/db/utils.py#14 _get_alembic_config(url) ↩ ├── build/lib/mlflow/server/auth/db/utils.py#19 url.replace("%", "%%") └── build/lib/mlflow/server/auth/db/utils.py#20 alembic_cfg.set_main_option("sqlalchemy.url", url) Tags: pkg:pypi/alembic@1.16.5 |
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| argument engine ⭕ to the function migrate_if_needed can be used to reach 2 packages from certain endpoints. | build/lib/mlflow/server/auth/db/utils.py#31 migrate_if_needed(engine) ↩ Tags: pkg:pypi/sqlalchemy@2.0.43, framework ├── build/lib/mlflow/server/auth/db/utils.py#32 engine.url ├── build/lib/mlflow/server/auth/db/utils.py#14 _get_alembic_config(url) ↩ ├── build/lib/mlflow/server/auth/db/utils.py#19 url.replace("%", "%%") └── build/lib/mlflow/server/auth/db/utils.py#20 alembic_cfg.set_main_option("sqlalchemy.url", url) Tags: pkg:pypi/alembic@1.16.5 |
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