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GHSA-265r-hfxg-fhmg: containerd has an integer overflow in User ID handling

Impact

A bug was found in containerd where containers launched with a User set as a UID:GID larger than the maximum 32-bit signed integer can cause an overflow condition where the container ultimately runs as root (UID 0). This could cause unexpected behavior for environments that require containers to run as a non-root user.

Patches

This bug has been fixed in the following containerd versions:

  • 2.0.4 (Fixed in https://github.com/containerd/containerd/commit/1a43cb6a1035441f9aca8f5666a9b3ef9e70ab20)
  • 1.7.27 (Fixed in https://github.com/containerd/containerd/commit/05044ec0a9a75232cad458027ca83437aae3f4da)
  • 1.6.38 (Fixed in https://github.com/containerd/containerd/commit/cf158e884cfe4812a6c371b59e4ea9bc4c46e51a)

Users should update to these versions to resolve the issue.

Workarounds

Ensure that only trusted images are used and that only trusted users have permissions to import images.

Credits

The containerd project would like to thank Benjamin Koltermann and emxll for responsibly disclosing this issue in accordance with the containerd security policy.

References

  • https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-40635

For more information

If you have any questions or comments about this advisory:

To report a security issue in containerd:

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Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.

Attack complexity: More severe for the least complex attacks.

Privileges required: More severe if no privileges are required.

User interaction: More severe when no user interaction is required.

Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.

Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.

Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.

Availability: More severe when the loss of impacted component availability is highest.

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