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VulnerabilityPublished Updated

CVE-2024-40441: doccano · Server-Side Request Forgery (SSRF)

Affects doccanoSource CVE Database V5

0

Not known to be exploited · CVSS 6.6 Medium.

Data as of 26 Oct 2026, 11:07 UTC

CVSS 3.1 base score
6.6Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 51% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Sep 2024

  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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubdoccano/doccanopkg:github/doccano/doccanoOther threatsAffected
  • =1.8.4
Fixed in–
GitHubdoccano/auto-labeling-pipelinepkg:github/doccano/auto-labeling-pipelineOther threatsAffected
  • =0.1.23
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. Upgrade Doccano and the Auto Labeling Pipeline module to the latest versions once patches are released by the maintainers.
  2. Until patches are available, restrict network access to Doccano instances, limiting exposure to trusted internal networks only.
  3. Implement strict access controls and role-based permissions to minimize the number of users with high privileges.
  4. Monitor logs and audit trails for unusual activity related to the model_attribs parameter or privilege escalation attempts.
  5. Employ web application firewalls (WAFs) with custom rules to detect and block suspicious requests targeting the model_attribs parameter.
  6. Conduct regular security assessments and code reviews focusing on input validation and dynamic code evaluation areas.
  7. Educate users and administrators on the risks of privilege escalation and the importance of applying security updates promptly.
  8. Consider isolating Doccano environments in containerized or sandboxed deployments to limit the blast radius of potential exploitation.

Description

An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via the model_attribs parameter.

References

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