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VulnerabilityPublished

CVE-2026-119712: pipeshub-ai · Server-Side Request Forgery (SSRF)

Affects pipeshub-aiSource CVE Database V5

0
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Not known to be exploited · CVSS 5.3 Medium : upgrade to 0.10.0 when convenient.

Data as of 30 Oct 2026, 15:33 UTC

CVSS 4.0 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (VulnCheck)CVSS 4.05.3
CNA (VulnCheck)CVSS 3.16.4
Patch
Available – fixed in 0.10.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:N/SC:L/SI:L/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Oct 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Upgrade pipeshub-ai to 0.10.0.

Affected software

ProductAffectedFixed in
pipeshub-aipipeshub-aiAffected
  • <0.10.0
Fixed in
  • 0.10.0

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.

References

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