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CVE-2025-9365VulnerabilityPublished

CVE-2025-9365: Fuji Electric FRENIC-Loader 4 · Deserialization of Untrusted Data

Affects Fuji Electric FRENIC-Loader 4Source CVE Database V5

0

Not known to be exploited · CVSS 8.4 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 4.0 base score
8.4High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 8% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Sep 2025

  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
Fuji Electric FRENIC-Loader 4Affected
  • =0
Fixed in–

AI-suggested

To mitigate this vulnerability, European organizations should implement the following specific measures: 1) Restrict and monitor the use of FRENIC-Loader 4 to trusted personnel only, minimizing the risk of malicious file imports. 2) Implement strict file validation and scanning policies for any files imported into the software, including the use of endpoint security solutions capable of detecting malicious serialized objects. 3) Employ application whitelisting and sandboxing techniques to limit the execution context of FRENIC-Loader 4, reducing the impact of potential code execution. 4) Conduct targeted user awareness training focused on the risks of importing untrusted files and recognizing social engineering attempts. 5) Isolate industrial control systems and associated engineering workstations from general IT networks to limit exposure to remote attackers. 6) Monitor logs and system behavior for anomalies indicative of exploitation attempts, such as unexpected process launches or network connections. 7) Engage with Fuji Electric for updates and patches, and prepare to deploy them promptly once available. 8) Consider implementing compensating controls such as network segmentation and strict access controls to reduce the attack surface. These steps go beyond generic advice by focusing on operational practices and technical controls tailored to the industrial environment and the specific nature of the vulnerability.

Description

Fuji Electric FRENIC-Loader 4 is vulnerable to a deserialization of untrusted data when importing a file through a specified window, which may allow an attacker to execute arbitrary code.

References

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