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VulnerabilityPublished Updated

CVE-2021-38616

Source CVE Database V5

0

Not known to be exploited · CVSS 7.6 High.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
7.6High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.3% chance of exploitation in 30 days – higher than 70% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AC:L/AV:N/A:L/C:L/I:H/PR:L/S:U/UI:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Sep 2021

  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
n/a n/aAffected
  • =3.10.1
Fixed in–

AI-suggested

To mitigate this vulnerability, organizations should immediately audit and restrict access controls on the /auth/v1/user/{user-guid}/ endpoint. Implement strict server-side authorization checks to ensure that users can only modify their own profiles and that permission changes are validated against a secure policy. Employ role-based access control (RBAC) or attribute-based access control (ABAC) mechanisms to enforce least privilege principles. If possible, upgrade to a patched version of Eigen NLP once available or apply vendor-provided patches. In the absence of patches, consider deploying web application firewalls (WAFs) with custom rules to detect and block suspicious PATCH requests attempting to modify user_permissions arrays. Conduct thorough logging and monitoring of user profile modifications to detect anomalous activities. Additionally, enforce strong authentication mechanisms and consider multi-factor authentication (MFA) to reduce the risk of compromised credentials being used to exploit this flaw. Network segmentation and limiting exposure of the NLP service to trusted internal networks can further reduce attack vectors.

Description

In Eigen NLP 3.10.1, a lack of access control on the /auth/v1/user/{user-guid}/ user edition endpoint could permit any logged-in user to increase their own permissions via a user_permissions array in a PATCH request. A guest user could modify other users' profiles and much more.

References

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