Security Audit

hf-cloud-sagemaker-iam-preflight

github.com/huggingface/skills

AI SkillCommit 80f9fa530e46

CRITICAL

Scanned 14 days ago

Critical

Immediate action required

High

Priority fixes suggested

Medium

Best practices review

Low

Acknowledged / Tracked

Trust Assessment

hf-cloud-sagemaker-iam-preflight received a trust score of 0/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 2 critical, 3 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), JSON Injection in IAM Policy Generation.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 40/100, indicating areas for improvement.

Last analyzed on October 1, 2026 (commit 80f9fa53). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis

40%

Static Code Analysis

70%

Dependency Graph

100%

LLM Behavioral Safety

85%

Behavioral Risk Signals

Filesystem Write

1 finding

Shell Execution

5 findings

Dynamic Code

1 finding

Excessive Permissions

1 finding

Security Findings5

Severity	Finding	Layer	Location
CRITICAL	Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands.	Manifest	skills/hf-cloud-sagemaker-iam-preflight/scripts/check_role.py:61
CRITICAL	Arbitrary command execution Python shell execution (os.system, subprocess) Review all shell execution calls. Ensure commands are static (not built from user input), use absolute paths, and are strictly necessary. Prefer library APIs over shell commands.	Manifest	skills/hf-cloud-sagemaker-iam-preflight/scripts/create_role.py:48
HIGH	Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'run_aws'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives.	Static	skills/hf-cloud-sagemaker-iam-preflight/scripts/check_role.py:61
HIGH	Dangerous call: subprocess.run() Call to 'subprocess.run()' detected in function 'run_aws'. This can execute arbitrary code. Avoid using dangerous functions like exec/eval/os.system. Use safer alternatives.	Static	skills/hf-cloud-sagemaker-iam-preflight/scripts/create_role.py:48
HIGH	JSON Injection in IAM Policy Generation The script `create_role.py` uses simple string replacement (`.replace()`) to insert the user-supplied `model_bucket` parameter directly into the IAM policy template. If the bucket name is sourced from untrusted input (e.g., a configuration file in a repository), an attacker can inject JSON metacharacters to manipulate the policy structure, potentially escalating privileges by adding arbitrary IAM statements (such as wildcard actions or resources) to the created SageMaker execution role. Parse the policy template using `json.loads()`, locate the specific resource string, update it programmatically, and serialize it back to a string using `json.dumps()`. This guarantees that any user input is properly escaped as a JSON string literal.	LLM	scripts/create_role.py:89

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