Vulnerability · Published Oct 30, 2026 · Assigned by VulnCheck

CVE-2026-119712PipesHub before 0.10.0 SSRF via Image URLs in Indexed Documents

Medium 6.4

In plain English

A medium-severity server-side request forgery in pipeshub-ai from pipeshub-ai. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 17% of all known vulnerabilities). Ready-made attack tooling exists: public proof-of-concept code.

Severity (CVSS 3.1)6.4Medium

Exploit odds (30 days)0.3%top 83.1% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack tooling1Public PoC

Official 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 (as reported)

Vendor	Product	Versions
pipeshub-ai	pipeshub-ai	0 – before 0.10.0

Weakness: CWE-918 · Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N

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