---
title: "IndustryBench trust report"
type: "trust-report"
slug: "alibaba-multimodal-industrial-ai-industrybench"
canonical_url: "https://www.graphcanon.com/tools/alibaba-multimodal-industrial-ai-industrybench/trust"
computed_at: "2026-07-11T12:01:56.100Z"
maintenance_label: "Active"
security_status: "findings"
---

# IndustryBench trust report

_Sourced [trust signals](/glossary/trust-and-signals/trust-signal) from public GitHub metadata and optional dependency [security scans](/glossary/trust-and-signals/security-scan). Not a security guarantee._

## Maintenance

- Label: Active (82% recency signal)
- Days since last push: 26
- Methodology: github_public_v1

## Provenance

- GitHub repo id: 1236570104
- Not a fork
- Owner type: Organization
- Computed at: 2026-07-11T12:01:56.100Z
- Methodology: github_public_v1

## Security scan

- Status: Findings present (0 critical, 0 high, 4 medium, 3 low) · last scan 2026-07-11T12:02:01.608Z

### Findings

- **medium**: Requests vulnerable to .netrc credentials leak via malicious URLs (requests@2.28.0 · CVE-2024-47081 · requirements.txt)
- **medium**: Requests `Session` object does not verify requests after making first request with verify=False (requests@2.28.0 · CVE-2024-35195 · requirements.txt)
- **medium**: Requests has Insecure Temp File Reuse in its extract_zipped_paths() utility function (requests@2.28.0 · CVE-2026-25645 · requirements.txt)
- **medium**: Unintended leak of Proxy-Authorization header in requests (requests@2.28.0 · CVE-2023-32681 · requirements.txt)
- **low**: PYSEC-2023-74 (requests@2.28.0 · CVE-2023-32681 · requirements.txt)
- **low**: Requests vulnerable to .netrc credentials leak via malicious URLs (requests@2.28.0 · CVE-2024-47081 · requirements.txt)
- **low**: Requests `Session` object does not verify requests after making first request with verify=False (requests@2.28.0 · CVE-2024-35195 · requirements.txt)

## Method and caveats

These are heuristics from public GitHub data and optional dependency scans, sourced and dated. 
"No criticals found on 2026-07-11" is not a guarantee of safety.
See the full methodology: [/trust-methodology](/trust-methodology.md).

## Common questions

### Is IndustryBench maintained?

GraphCanon rates IndustryBench "Active" (82% maintenance signal from public GitHub metadata, computed today). Last push was 26 days ago. This is a recency heuristic, not a guarantee the project will stay maintained.

### Is IndustryBench safe to use?

Last scanned today (deps profile). Status: 4 medium, 3 low - 4 medium, 3 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report. GraphCanon does not certify IndustryBench as safe - review maintenance, provenance, and scan findings on this page before adopting.

### Is IndustryBench a fork?

No. IndustryBench is not flagged as a fork in GitHub metadata at the time of the last refresh.

### Does IndustryBench have known security vulnerabilities?

Last scanned today (deps profile). Status: 4 medium, 3 low - 4 medium, 3 low finding(s) in the latest scan. GraphCanon does not claim the project is safe or vulnerability-free; review findings on the trust report.

### How often is the IndustryBench trust report updated?

Trust signals refresh on GitHub ingest/refresh cycles and optional dependency/MCP scans. This report was computed today (methodology github_public_v1).

### What does GraphCanon never claim about IndustryBench?

We never publish a composite safety grade, pen-test endorsement, or "verified secure" label for IndustryBench. Signals are sourced heuristics with explicit limits - see [trust methodology](/trust-methodology).

### How does GraphCanon assess trust for IndustryBench?

Signals are sourced from public GitHub metadata and optional dependency/MCP manifest scans, each tagged with methodology version and computed date. GraphCanon does not publish a composite safety grade. Read [trust methodology](/trust-methodology) for full scope and limits.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/alibaba-multimodal-industrial-ai-industrybench/trust`](/api/graphcanon/tools/alibaba-multimodal-industrial-ai-industrybench/trust)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_