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CVE-2023-29499VulnerabilityPublished Updated

CVE-2023-29499: glib2 · Uncontrolled Resource Consumption

Affects glib2Source CVE Database V5

0

Not known to be exploited · CVSS 5.5 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
5.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.7% chance of exploitation in 30 days – higher than 55% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 14 Sep 2023

  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

AI-suggested

To mitigate CVE-2023-29499, European organizations should: 1) Monitor and apply security patches from Linux distributions and software vendors as soon as they become available to address the vulnerability in glib2. 2) Limit local user access and enforce strict user privilege management to reduce the risk of exploitation requiring local access. 3) Educate users about the risks of processing untrusted or unexpected input, especially in environments where GVariant deserialization occurs. 4) Implement application-level input validation and sanitization to ensure that data passed to GVariant deserialization conforms to expected formats. 5) Employ resource usage monitoring and alerting to detect abnormal CPU or memory consumption that may indicate exploitation attempts. 6) Consider deploying application sandboxing or containerization to isolate processes that perform GVariant deserialization, limiting the impact of potential DoS attacks. 7) Review and restrict software and scripts that invoke GVariant deserialization from untrusted sources or user inputs. These steps go beyond generic advice by focusing on controlling local access, user behavior, and proactive monitoring tailored to the nature of this vulnerability.

Description

A flaw was found in GLib. GVariant deserialization fails to validate that the input conforms to the expected format, leading to denial of service.

References

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