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VulnerabilityPublished Updated

CVE-2026-29780: GOVCERT-LU eml_parser · Path Traversal

Affects GOVCERT-LU eml_parserSource CVE Database V5

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Not known to be exploited · CVSS 5.5 Medium : upgrade to 2.0.1 when convenient.

Data as of 30 Oct 2026, 06:59 UTC

CVSS 3.1 base score
5.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 16% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2.0.1
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    Public exploit code: GitHub proofs of concept

  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), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Upgrade GOVCERT-LU eml_parser to 2.0.1.

Affected software

ProductAffectedFixed in
GOVCERT-LUeml_parserAffected
  • <2.0.1
Fixed in
  • 2.0.1

AI-suggested

To mitigate this vulnerability, organizations should immediately upgrade eml_parser to version 2.0.1 or later, where the path traversal issue has been patched. Review and avoid using the vulnerable example script recursively_extract_attachments.py in production or modify it to sanitize and validate all attachment filenames before writing to disk. Implement strict filename normalization and whitelist allowed characters to prevent directory traversal sequences. Run email parsing and attachment extraction processes with the least privileges necessary, ideally in isolated or sandboxed environments to limit potential damage from arbitrary file writes. Monitor file system changes in directories used for email attachment extraction to detect suspicious activity. Additionally, apply network and email security controls to reduce the likelihood of processing malicious emails, such as advanced email filtering, attachment scanning, and user awareness training. Regularly audit and update third-party libraries to incorporate security patches promptly.

Description

eml_parser serves as a python module for parsing eml files and returning various information found in the e-mail as well as computed information. Prior to version 2.0.1, the official example script examples/recursively_extract_attachments.py contains a path traversal vulnerability that allows arbitrary file write outside the intended output directory. Attachment filenames extracted from parsed emails are directly used to construct output file paths without any sanitization, allowing an attacker-controlled filename to escape the target directory. This issue has been patched in version 2.0.1.

References

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