repo_id stringlengths 15 44 | security_score int64 0 184 | risk_level stringclasses 4 values | total_warnings int64 0 67 | critical_count int64 0 0 | high_count int64 0 3 | medium_count int64 0 3 | low_count int64 0 66 | scan_date stringdate 2025-12-15 02:45:52 2025-12-16 10:23:59 | palisade_version stringclasses 1 value | model_url stringlengths 38 67 | threat_categories stringclasses 7 values | policy_compliance stringclasses 1 value | top_validators stringclasses 7 values | mitre_techniques stringclasses 2 values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
google/gemma-3-270m-it | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-15T02:45:52.194529 | 0.4.0 | https://huggingface.co/google/gemma-3-270m-it | {} | {} | [] | [] |
matrixportalx/Llama-2-7b-chat-hf-Q4_K_M-GGUF | 184 | high | 8 | 0 | 3 | 3 | 2 | 2025-12-15T03:58:52.761612 | 0.4.0 | https://huggingface.co/matrixportalx/Llama-2-7b-chat-hf-Q4_K_M-GGUF | {"buffer_overflow": 3, "model_integrity": 1, "behavior_analysis": 1, "gguf_safety": 2, "tool_call_security": 1} | {} | [{"name": "BufferOverflowValidator", "count": 3}, {"name": "GGUFSafetyValidator", "count": 2}, {"name": "ModelIntegrityValidator", "count": 1}, {"name": "BehaviorAnalysisValidator", "count": 1}, {"name": "ToolCallSecurityValidator", "count": 1}] | ["AML.T0051.002"] |
sentence-transformers/all-MiniLM-L6-v2 | 52 | medium | 2 | 0 | 1 | 0 | 1 | 2025-12-16T09:56:30.009045 | 0.4.0 | https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 | {"buffer_overflow": 2} | {} | [{"name": "BufferOverflowValidator", "count": 2}] | [] |
sentence-transformers/all-mpnet-base-v2 | 12 | low | 2 | 0 | 0 | 1 | 1 | 2025-12-16T09:56:38.382227 | 0.4.0 | https://huggingface.co/sentence-transformers/all-mpnet-base-v2 | {"buffer_overflow": 2} | {} | [{"name": "BufferOverflowValidator", "count": 2}] | [] |
BAAI/bge-small-en-v1.5 | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T09:56:42.575240 | 0.4.0 | https://huggingface.co/BAAI/bge-small-en-v1.5 | {} | {} | [] | [] |
BAAI/bge-base-en-v1.5 | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T09:56:57.875568 | 0.4.0 | https://huggingface.co/BAAI/bge-base-en-v1.5 | {} | {} | [] | [] |
microsoft/phi-2 | 22 | low | 7 | 0 | 0 | 1 | 6 | 2025-12-16T09:59:02.416238 | 0.4.0 | https://huggingface.co/microsoft/phi-2 | {"buffer_overflow": 4, "backdoor": 3} | {} | [{"name": "BufferOverflowValidator", "count": 4}, {"name": "BackdoorDetectionValidator", "count": 3}] | [] |
google/gemma-2b | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:00:33.218509 | 0.4.0 | https://huggingface.co/google/gemma-2b | {} | {} | [] | [] |
TinyLlama/TinyLlama-1.1B-Chat-v1.0 | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:01:12.960671 | 0.4.0 | https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0 | {} | {} | [] | [] |
google/gemma-2b-it | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:02:43.022206 | 0.4.0 | https://huggingface.co/google/gemma-2b-it | {} | {} | [] | [] |
Qwen/Qwen3-1.7B | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:03:51.267202 | 0.4.0 | https://huggingface.co/Qwen/Qwen3-1.7B | {} | {} | [] | [] |
meta-llama/Llama-2-7b-hf | 8 | safe | 4 | 0 | 0 | 0 | 4 | 2025-12-16T10:08:29.696766 | 0.4.0 | https://huggingface.co/meta-llama/Llama-2-7b-hf | {"buffer_overflow": 4} | {} | [{"name": "BufferOverflowValidator", "count": 4}] | [] |
mistralai/Mistral-7B-v0.1 | 2 | safe | 1 | 0 | 0 | 0 | 1 | 2025-12-16T10:12:46.000206 | 0.4.0 | https://huggingface.co/mistralai/Mistral-7B-v0.1 | {"buffer_overflow": 1} | {} | [{"name": "BufferOverflowValidator", "count": 1}] | [] |
tiiuae/falcon-7b | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:16:54.693046 | 0.4.0 | https://huggingface.co/tiiuae/falcon-7b | {} | {} | [] | [] |
EleutherAI/gpt-neo-2.7B | 142 | low | 67 | 0 | 0 | 1 | 66 | 2025-12-16T10:20:11.297110 | 0.4.0 | https://huggingface.co/EleutherAI/gpt-neo-2.7B | {"model_integrity": 1, "buffer_overflow": 2, "backdoor": 64} | {} | [{"name": "BackdoorDetectionValidator", "count": 64}, {"name": "BufferOverflowValidator", "count": 2}, {"name": "ModelIntegrityValidator", "count": 1}] | [] |
codellama/CodeLlama-7b-hf | 0 | safe | 0 | 0 | 0 | 0 | 0 | 2025-12-16T10:23:59.580858 | 0.4.0 | https://huggingface.co/codellama/CodeLlama-7b-hf | {} | {} | [] | [] |
Palisade Model Security Scans
This dataset contains security scan results for popular ML models, generated by Palisade.
Dataset Structure
data/train.parquet: Leaderboard table with security metricssarif/: SARIF 2.1.0 scan reports organized by org/model-name
Metrics
- Security Score: Weighted sum of findings (lower is better)
- Risk Level: safe, low, medium, high, critical
- Severity Counts: critical, high, medium, low breakdowns
Usage
from datasets import load_dataset
ds = load_dataset("palisade-security/model-scans", split="train")
df = ds.to_pandas()
# Get safest models
safe_models = df[df['risk_level'] == 'safe'].sort_values('security_score')
License
Public Domain (CC0)
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