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CVE-2024-10829VulnerabilityPublished Updated

CVE-2024-10829: eosphoros-ai/db-gpt · Loop with Unreachable Exit Condition

Affects eosphoros-ai/db-gptSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.0 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 54% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 20 Mar 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
GitHubeosphoros-ai/db-gptpkg:github/eosphoros-ai/db-gptOther threatsAffected
  • =0.6.0
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

1. Monitor vendor communications closely and apply official patches or updates as soon as they become available to address the vulnerability directly. 2. Implement strict input validation and enforce limits on multipart request boundary lengths at the application or web server level to prevent excessively long boundaries from being processed. 3. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block malformed multipart/form-data requests that exhibit abnormal boundary lengths or patterns indicative of exploitation attempts. 4. Configure rate limiting and anomaly detection on endpoints handling multipart requests to reduce the risk of resource exhaustion from repeated attack attempts. 5. Conduct thorough code reviews and testing of multipart parsing logic to identify and fix any other potential infinite loop or resource exhaustion issues. 6. Isolate critical AI/data processing services behind reverse proxies or API gateways that can provide additional filtering and protection layers. 7. Maintain comprehensive logging and alerting for multipart request anomalies to enable rapid detection and response to exploitation attempts. 8. Educate development and security teams about CWE-835 and secure coding practices related to input parsing loops to prevent similar vulnerabilities in future releases.

Description

A Denial of Service (DoS) vulnerability in the multipart request boundary processing mechanism of eosphoros-ai/db-gpt v0.6.0 allows unauthenticated attackers to cause excessive resource consumption. The server fails to handle excessive characters appended to the end of multipart boundaries, leading to an infinite loop and complete denial of service for all users. This vulnerability affects all endpoints processing multipart/form-data requests.

References

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