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VulnerabilityPublished Updated

CVE-2024-45192: olm · Covert Timing Channel

Affects olmSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium : upgrade to 3.2.17 when convenient.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 44% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.2.17
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Aug 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

Upgrade matrix-org/olm to 3.2.17.

Affected software

ProductAffectedFixed in
GitHubmatrix-org/olmpkg:github/matrix-org/olmOther threatsAffected
  • <3.2.17
Fixed in
  • 3.2.17

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

AI-suggested

Since no official patches are available for this vulnerability in unsupported libolm versions, organizations should prioritize migrating to supported versions of libolm or alternative cryptographic libraries that do not exhibit this timing side-channel. If migration is not immediately feasible, network-level mitigations such as isolating affected systems, restricting access to trusted networks, and monitoring for unusual traffic patterns can reduce exposure. Implementing constant-time cryptographic operations or using hardened base64 decoding routines in custom forks may mitigate timing leakage but requires expert development effort. Additionally, organizations should audit their use of Matrix-based encrypted messaging to identify legacy deployments and plan decommissioning or upgrades. Employing end-to-end encryption solutions with active maintenance and security support is critical. Regular security assessments and penetration testing focusing on side-channel vulnerabilities can help detect similar issues early. Finally, educating developers and administrators about side-channel risks and secure coding practices will reduce future vulnerabilities.

Description

An issue was discovered in Matrix libolm through 3.2.16. Cache-timing attacks can occur due to use of base64 when decoding group session keys. This refers to the libolm implementation of Olm. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

References

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