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VulnerabilityPublished Updated

CVE-2024-25359: lagom · Code Injection

Affects lagomSource CVE Database V5

0

Not known to be exploited · CVSS 6.6 Medium.

Data as of 26 Oct 2026, 13:47 UTC

CVSS 3.1 base score
6.6Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 23% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Mar 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
GitHubzuoxingdong/lagompkg:github/zuoxingdong/lagomOther threatsAffected
  • =0.1.2
Fixed in–

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

AI-suggested

To mitigate CVE-2024-25359, organizations should immediately audit all uses of the zuoxingdong lagom library, especially focusing on the pickle_load function in serialize.py. Restrict local access to trusted users only and implement strict access controls on systems running vulnerable versions. Avoid deserializing untrusted data with pickle; instead, use safer serialization formats such as JSON or XML with proper validation. If deserialization is necessary, implement allowlists or use specialized libraries designed for safe deserialization. Monitor systems for unusual local activity that could indicate exploitation attempts. Apply application-level sandboxing or containerization to limit the impact of potential code execution. Stay alert for official patches or updates from the library maintainers and apply them promptly once available. Additionally, educate developers on the risks of unsafe deserialization and enforce secure coding practices in development workflows.

Description

An issue in zuoxingdong lagom v.0.1.2 allows a local attacker to execute arbitrary code via the pickle_load function of the serialize.py file.

References

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