Fuji Electric FRENIC-Loader 4 prior 1.4.0.1 deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Fuji Electric FRENIC-Loader 4 and classified as very critical. This issue affects some unknown processing. Performing a manipulation results in deserialization. This vulnerability is reported as CVE-2025-9365. The attack is possible to be carried out remotely. No exploit exists. The affected component should be upgraded.
Details
A vulnerability classified as very critical has been found in Fuji Electric FRENIC-Loader 4. This affects an unknown part. The manipulation with an unknown input leads to a deserialization vulnerability. CWE is classifying the issue as CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
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.
It is possible to read the advisory at cisa.gov. This vulnerability is uniquely identified as CVE-2025-9365. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/04/2025).
Upgrading to version 1.4.0.1 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 8.3VulDB Meta Temp Score: 8.1
VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: FRENIC-Loader 4 1.4.0.1
Timeline
09/02/2025 Advisory disclosed09/02/2025 VulDB entry created
09/04/2025 VulDB entry last update
Sources
Advisory: icsa-25-245-02Status: Confirmed
CVE: CVE-2025-9365 (🔒)
GCVE (CVE): GCVE-0-2025-9365
GCVE (VulDB): GCVE-100-322227
Entry
Created: 09/02/2025 20:40Updated: 09/04/2025 06:14
Changes: 09/02/2025 20:40 (50), 09/04/2025 06:14 (24)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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