Strobes VIStrobes VI
CVE DatabaseThreat ActorsResearchAdvisoryAPI Docs
Visit Strobes.coSign Up for Strobes
CVE DatabaseThreat ActorsResearchAdvisoryAPI Docs
Tools
KB Lookup
Visit Strobes.coSign Up for Strobes
HomeCVEs

Do you like the insights?

Strobes vulnerability intelligence is a key component of their Exposure Management platform that helps organizations understand, prioritize, and address security vulnerabilities more effectively.

© 2026 Strobes Security. All rights reserved.
HomeCVEsCVE-2025-7746

CVE-2025-7746

Published: February 1, 2026
Last updated:3 hours ago (February 1, 2026)
Exploit: NoZero-day: NoPatch: NoTrend: Neutral
TL;DR
Updated February 1, 2026

CVE-2025-7746 is a low severity vulnerability with a CVSS score of 0.0. No known public exploits at this time.

Key Points
  • 1Low severity (CVSS 0.0/10)
  • 2No known public exploits
  • 3No official patches released yet
Severity Scores
CVSS v30.0
CVSS v20.0
Priority Score0.0
EPSS Score0.0
None
Exploitation LikelihoodMinimal
0.00%EPSS

Very low probability of exploitation

Monitor and patch as resources allow
0.00%
EPSS
0.0
CVSS
No
Exploit
No
Patch
Medium Priority
no patch

EPSS predicts the probability of exploitation in the next 30 days based on real-world threat data, complementing CVSS severity scores with actual risk assessment.

Description

CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability exists that could cause an unvalidated data injected by a malicious user potentially leading to modify or read data in a victim’s browser.

CVSS v3 Breakdown
Attack Vector:-
Attack Complexity:-
Privileges Required:-
User Interaction:-
Scope:-
Confidentiality:-
Integrity:-
Availability:-
Trend Analysis
Neutral
Advisories
GitHub AdvisoryNVD
Cite This Page
APA Format
Strobes VI. (2026). CVE-2025-7746 - CVE Details and Analysis. Strobes VI. Retrieved February 1, 2026, from https://vi.strobes.co/cve/CVE-2025-7746
Quick copy link + title

Please cite this page when referencing data from Strobes VI. Proper attribution helps support our vulnerability intelligence research.