Description
PipesHub before 0.10.0 contains a server-side request forgery vulnerability in ImageParser._fetch_single_url that allows attackers to make the indexing service fetch internal addresses by embedding image URLs in documents. Attackers can supply Markdown or HTML via uploads, synced mailboxes, or web connectors to reach loopback, private-network, or cloud metadata endpoints, with image responses embedded into indexed content.
Affected products
| Vendor | Product | Affected | Fixed |
|---|---|---|---|
| pipeshub-ai | pipeshub-ai | < 0.10.0 | 0.10.0 |
Public exploits
Exploit or proof-of-concept code for this vulnerability is publicly available, which lowers the bar for attackers. Treat it as a reason to patch sooner.
GitHub 1 repository
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hyderpwn/CVE-pipeshub ★ 0 · Oct 31, 2026
CVE-2026-119712 (CVSS 8.5 High) — PipesHub < 0.10.0 SSRF via image URLs in indexed documents (CWE-918). Verified PoC.
Sources: PoC-in-GitHub, Metasploit Framework, Exploit-DB — updated daily. Only links are listed; no exploit code is hosted here.
References
- GitHub Security Advisory (GHSA-mp2g-r37c-fx9q) vendor-advisory
- https://github.com/pipeshub-ai/pipeshub-ai/commit/16b05ed7c4c492330046fa10753389a5a5886613 patch
- https://github.com/pipeshub-ai/pipeshub-ai/blob/v0.9.1/backend/python/app/modules/parsers/image_parser/image_parser.py technical-description
- pipeshub-ai v0.10.0 Release Notes release-notes
- https://github.com/pipeshub-ai/pipeshub-ai product
- VulnCheck Advisory: PipesHub before 0.10.0 SSRF via Image URLs in Indexed Documents third-party-advisory