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VulnerabilityPublished

CVE-2025-15351: Anritsu VectorStar · Deserialization of Untrusted Data

Affects Anritsu VectorStarSource CVE Database V5

0

Not known to be exploited · CVSS 7.8 High.

Data as of 26 Oct 2026, 12:55 UTC

CVSS 3.0 base score
7.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 30% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Jan 2026

  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
AnritsuVectorStarAffected
  • =2024.11.1
Fixed in–

AI-suggested

  1. Restrict the sources of CHX files to trusted and verified origins only, implementing strict file handling policies.
  2. Employ application whitelisting and sandboxing techniques to isolate VectorStar and limit the impact of potential code execution.
  3. Educate users about the risks of opening unsolicited or unexpected CHX files and visiting untrusted websites.
  4. Monitor network and host activity for unusual behavior indicative of exploitation attempts, such as unexpected process launches or network connections from VectorStar.
  5. Implement strict input validation and filtering at the application or network level where possible to detect and block malicious payloads.
  6. Coordinate with Anritsu for timely updates and patches; apply security updates immediately once available.
  7. Consider deploying endpoint detection and response (EDR) solutions capable of detecting deserialization attacks and anomalous execution patterns.
  8. Maintain regular backups and incident response plans tailored to potential compromise scenarios involving VectorStar systems.

Description

CVE-2025-15351 is a high-severity remote code execution vulnerability in Anritsu VectorStar version 2024.11.1, caused by deserialization of untrusted data during CHX file parsing. Exploitation requires user interaction, such as opening a malicious file or visiting a malicious page, allowing attackers to execute arbitrary code with the privileges of the current process. The vulnerability stems from improper validation of user-supplied data, enabling attackers to manipulate deserialization logic. Although no known exploits are currently in the wild, the impact on confidentiality, integrity, and availability is high. European organizations using VectorStar in critical infrastructure or research environments are at risk. Mitigation involves restricting file sources, applying strict input validation, and isolating the application environment. Countries with significant telecommunications, aerospace, and research sectors using Anritsu products, such as Germany, France, and the UK, are most likely to be affected.

References

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