TitleOS commited on
Commit
376b950
·
verified ·
1 Parent(s): 14ed130

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -5,7 +5,7 @@ datasets:
5
  language:
6
  - en
7
  base_model:
8
- - google/gemma-4-E2B-it
9
  tags:
10
  - android
11
  - adb
@@ -14,12 +14,12 @@ tags:
14
  ---
15
  # ADBait: Dynamic Android ADB Honeypot
16
 
17
- ADBait is a fine-tuned language model designed to act as the backend brain for a dynamic Android Debug Bridge (ADB) honeypot. Built on top of `google/gemma-4-E2B-it`, this model is trained to generate highly convincing, context-aware Android 14 shell environments to trap, delay, and analyze automated exploitation scripts and human attackers.
18
 
19
  Rather than relying on static, hardcoded directory trees or predictable regex responses, ADBait generates realistic synthetic terminal outputs on the fly. Attackers will find outputs to be filled with accurate, dynamic data, such as popular installed user apps.
20
  ### Model Details
21
  * **Architecture:** LoRA fine-tuned as FP16.
22
- * **Base Model:** `google/gemma-4-E2B-it`
23
  * **Target Environment:** Android 14 (API Level 34) shell simulation.
24
  * **Format:** LoRA
25
 
 
5
  language:
6
  - en
7
  base_model:
8
+ - ibm-granite/granite-4.0-h-1b
9
  tags:
10
  - android
11
  - adb
 
14
  ---
15
  # ADBait: Dynamic Android ADB Honeypot
16
 
17
+ ADBait is a fine-tuned language model designed to act as the backend brain for a dynamic Android Debug Bridge (ADB) honeypot. Built on top of `ibm-granite/granite-4.0-h-1b`, this model is trained to generate highly convincing, context-aware Android 14 shell environments to trap, delay, and analyze automated exploitation scripts and human attackers.
18
 
19
  Rather than relying on static, hardcoded directory trees or predictable regex responses, ADBait generates realistic synthetic terminal outputs on the fly. Attackers will find outputs to be filled with accurate, dynamic data, such as popular installed user apps.
20
  ### Model Details
21
  * **Architecture:** LoRA fine-tuned as FP16.
22
+ * **Base Model:** `ibm-granite/granite-4.0-h-1b`
23
  * **Target Environment:** Android 14 (API Level 34) shell simulation.
24
  * **Format:** LoRA
25