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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