Versioned security assessment

Report ID: SA-D9ED08C6

6/30/2026, 12:31:05 PM

azure-ai-vision-imageanalysis-py security assessment v2

Skill Security Certification Report

Audit History
Audit model: codex Historical report
Skill name
azure-ai-vision-imageanalysis-py
Version
v2
Maintainer
sickn33
Source
github.com/sickn33/antigravity-awesome-skills/tree/main/skills/azure-ai-vision-imageanalysis-py
Coverage
1 Files scanned · 261 Lines analyzed
Policy version
Unavailable

Confirmed finding summary

No confirmed security findings

The completed audit recorded no confirmed security findings. This is not proof that the Skill has no side effects.

Installation context

Historical evidence

This report may not describe the currently installable artifact. Open the current Skill page for install guidance.

Open current Skill page

This report does not block or authorize the manifest or ZIP.

The static analyzer heavily over-reported Markdown code fences as Ruby or shell backtick execution, and the weak-crypto and reconnaissance hits are false positives. The skill is still medium risk because it documents installing an external package, reading Azure credentials from environment variables, and sending image data or image URLs to Azure AI Vision.

Report position

Historical report

Open audit history before using this report to install.

Audit attestation

Not attestable

The required immutable binding is incomplete.

Human verification

Not verified

No human verification is recorded for this report.

Coverage

1 Files scanned · 261 Lines analyzed

4 items shown for review

Limitations

This report does not claim runtime or sandbox execution and does not prove the absence of side effects.

Evidence chain

Follow the evidence from source binding to the install contract. Available evidence supports verification; it is not a safety guarantee.

  1. Source

    Binding unavailable

  2. Artifact

    Identity incomplete

  3. Audit

    Complete

  4. Install contract

    Open manifest to verify

    Open manifest

Capabilities observed

Observed means this report recorded supporting evidence. Not recorded does not prove that a capability is absent.

Contains scripts

May execute code included with the Skill.

Not recorded by this audit

Network access

May connect to external services.

Observed in 4 evidence locations

Filesystem access

May read or write local files.

Not recorded by this audit

Env variables

May read values from the process environment.

Observed in 2 evidence locations

External commands

May invoke commands or programs outside the Skill.

Observed in 1 evidence location

Capability review items (4)
Medium
SKILL.md:22SKILL.md:61SKILL.md:63-76SKILL.md:85-88
Cloud Image Analysis Sends Data to Azure
The examples configure an Azure Cognitive Services endpoint and call Azure AI Vision analysis methods for URLs and local image bytes. This is expected behavior for the skill, but users may send sensitive images or image URLs to a cloud service if they run the examples without reviewing data handling requirements.
The network behavior is explicit in the Azure endpoint and analyze_from_url/analyze examples. It appears legitimate for an Azure Vision SDK guide, with no evidence of hidden or unauthorized destinations.
Medium
SKILL.md:35-36SKILL.md:50-52
Credential Access Through Environment Variables
The examples read VISION_ENDPOINT and VISION_KEY from environment variables and also show DefaultAzureCredential. This is a standard Azure pattern, but it requires users to protect API keys and avoid exposing credentials in logs, prompts, or shared files.
The credential reads are direct and visible in Python examples. The usage is normal for Azure SDK authentication, but credentials are security-sensitive by nature.
Medium
SKILL.md:15-17
External Package Installation Guidance
The skill instructs users to install azure-ai-vision-imageanalysis with pip. This is a normal setup step, but it introduces supply-chain and dependency trust considerations for users who run the command.
The pip install command is clear and limited to the declared Azure Vision package. The risk is dependency-related rather than evidence of malicious command execution.
Low
SKILL.md:15-17SKILL.md:35-36SKILL.md:61-76
Critical Combination Heuristic Is Not Confirmed
The critical heuristic combined code execution, network, and credential access signals. Review found visible SDK examples for Azure authentication and image analysis, but no obfuscation, prompt injection, credential exfiltration, or hidden malicious workflow.
The risk factors exist in documentation examples, but the context supports the advertised Azure Vision purpose. No suspicious instructions, disguised endpoints, or prompt-injection text were found.

Risk findings

Confirmed security concerns are separated from items that still need review.

No confirmed security findings were recorded for this completed audit.

Expert evidence

Immutable subject identity, scanner metadata, dismissed matches, and source-level evidence.

Artifact subject

Marketplace commit
Unavailable
Content hash
Unavailable
Tree hash
Unavailable
Skill path
Unavailable
Audit payload hash
Unavailable

Analysis metadata

Audit model: codex

Analysis state: Complete

Scope is limited to the recorded files, lines, methods, and evidence. No runtime or sandbox execution is claimed.

Static false positives ignored (3)
Low
SKILL.md:15-17SKILL.md:21-24SKILL.md:30-42SKILL.md:46-54SKILL.md:58-77SKILL.md:81-89SKILL.md:93-103SKILL.md:107-118SKILL.md:122-131SKILL.md:135-147SKILL.md:151-166SKILL.md:170-182SKILL.md:186-198SKILL.md:202-216SKILL.md:222-228SKILL.md:232-244
Markdown Backtick Execution Findings Are False Positives
The static Ruby or shell backtick findings point to Markdown code fences, inline code, and documentation examples. No evidence found of Ruby backtick execution or hidden script execution in SKILL.md.
Line review shows Markdown fences and Python or bash examples, not executable Ruby backtick syntax. The only actual shell instruction is the visible pip install example.
Low
SKILL.md:3SKILL.md:220-222SKILL.md:257
Weak Cryptography Findings Are False Positives
The weak cryptographic algorithm findings do not correspond to cryptographic code, hashing, encryption, or certificate handling. No evidence found of MD5, SHA-1, DES, RC4, or similar weak algorithms in the reviewed file.
The cited lines contain metadata, a Markdown table, and a best-practice sentence. They do not contain cryptographic operations or algorithm names.
Low
SKILL.md:256
System Reconnaissance Finding Is a False Positive
The system reconnaissance finding points to a best-practice line about using async clients for high-throughput scenarios. No evidence found of host probing, OS enumeration, environment dumping, or system discovery commands.
The cited line is plain documentation text about performance. It does not request or execute any system reconnaissance activity.

Verify and export

JSON report CITATION.cff SARIF 2.1.0 Signed installation manifest

The manifest and lockfile bind install artifacts to cryptographic hashes. This integrity claim is separate from the security assessment.

Audit attestation: not_attestable