CVE-2024-30056
Published: 25 May 2024
Summary
CVE-2024-30056 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Microsoft Edge Chromium. Its CVSS base score is 7.1 (High).
Operationally, ranked in the top 6.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Microsoft Edge, the Chromium-based web browser from Microsoft, contains an information disclosure vulnerability tracked as CVE-2024-30056. The flaw is classified under CWE-359 and carries a CVSS 3.1 score of 7.1, reflecting network attack vectors that require low complexity, no privileges, and only user interaction to trigger high-impact confidentiality exposure along with limited integrity effects.
An unauthenticated remote attacker can exploit the issue by serving malicious web content that a user visits in Edge, resulting in unauthorized disclosure of sensitive information from the browser process and a secondary integrity impact without affecting availability.
Microsoft has published official guidance and remediation details for the vulnerability in its security update guide at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-30056. The associated EPSS score has remained flat at 0.0972 since disclosure with no material increase observed.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-27993
Vulnerability details
Microsoft Edge (Chromium-based) Information Disclosure Vulnerability
- 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 identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.
Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.
Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.
The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.
Privacy literacy training directly targets preventing exposure of personal information through user mishandling.
Tracking locations of sensitive data and access users reduces risk of private personal information exposure.
PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.
The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.