Skip to main content
CVE-2024-27507VulnerabilityPublished Updated

CVE-2024-27507: libLAS · n/a

Affects libLASSource CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
1.1% chance of exploitation in 30 days – higher than 66% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Feb 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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
Fedorafedora/libLASpkg:rpm/fedora/libLASOther threatsAffected
  • =1.8.1
Fixed in–

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

AI-suggested

1. Monitor memory usage of applications utilizing libLAS to detect abnormal increases that may indicate exploitation attempts. 2. Employ runtime memory analysis and leak detection tools during development and production to identify and mitigate memory leaks early. 3. Restrict network exposure of services processing LiDAR data with libLAS to trusted internal networks or through VPNs to reduce attack surface. 4. Implement resource limits and process isolation (e.g., containerization or sandboxing) to contain potential denial-of-service impacts. 5. Stay informed on libLAS project updates and apply patches promptly once a fix for CVE-2024-27507 is released. 6. Consider alternative libraries or tools for LiDAR data processing if immediate patching is not feasible. 7. Conduct regular security assessments and penetration testing focused on geospatial data processing infrastructure. 8. Develop incident response plans specifically addressing denial-of-service scenarios affecting geospatial applications.

Description

libLAS 1.8.1 contains a memory leak vulnerability in /libLAS/apps/ts2las.cpp.

References

Community reviews

Loading reviews…