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VulnerabilityPublished Updated

CVE-2026-73034: eosphoros-ai DB-GPT · Path Traversal

Affects eosphoros-ai DB-GPTSource CVE Database V5

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Not known to be exploited · public detection template (Nuclei) · CVSS 9.3 Critical.

Data as of 8 Nov 2026, 23:24 UTC

CVSS 4.0 base score
9.3Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
5.7% chance of exploitation in 30 days – higher than 93% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 11 Aug 2026

  2. Weaponized: evidence found.

    Public exploit code: GitHub proofs of concept

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

    Not in CISA KEV and no source reports exploitation

  4. 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), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
eosphoros-aiDB-GPTAffected
  • <=0.8.1
Fixed in–

AI-suggested

Until a fix is available, restrict access to the vulnerable endpoint and monitor for suspicious multipart upload requests with unusual user_id headers.

Description

DB-GPT v0.8.1 contains an unauthenticated path traversal vulnerability that allows remote attackers to write arbitrary files to any location on the server by injecting directory traversal sequences into the user_id HTTP header of the Python file-upload endpoint. Attackers can send a crafted multipart upload request with a traversal-poisoned user_id header to escape the intended upload directory and write attacker-controlled content to locations such as Python startup hooks, cron directories, or agent scripts, resulting in remote code execution.

References

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