CVE-2025-49741
Published: 01 July 2025
Summary
CVE-2025-49741 is a high-severity Privilege Chaining (CWE-268) vulnerability in Microsoft Edge Chromium. Its CVSS base score is 7.4 (High).
Operationally, ranked in the top 7.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2025-49741 is an information disclosure vulnerability affecting Microsoft Edge (Chromium-based). The flaw, tracked under CWE-268 and CWE-200, enables an unauthorized attacker to access sensitive data over a network, reflected in its CVSS 7.4 rating with network attack vector, low complexity, no privileges required, and required user interaction.
An attacker positioned on the network can trigger the issue remotely without authentication, achieving high confidentiality impact while altering scope to affect other components. Exploitation does not require elevated privileges but depends on convincing a user to perform an action such as visiting a malicious page.
Microsoft has published an advisory detailing the issue at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-49741. The associated EPSS score has remained flat at 0.0911 with no material rise from its initial value.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19709
Vulnerability details
No cwe for this issue in Microsoft Edge (Chromium-based) allows an unauthorized attacker to disclose information over a network.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.