CVE-2024-30321
Published: 09 July 2024
Summary
CVE-2024-30321 is a high-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability. Its CVSS base score is 8.2 (High).
Operationally, ranked at the 49.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-28242
Vulnerability details
A vulnerability has been identified in SIMATIC PCS 7 V9.1 (All versions < V9.1 SP2 UC05), SIMATIC WinCC Runtime Professional V18 (All versions < V18 Update 5), SIMATIC WinCC Runtime Professional V19 (All versions < V19 Update 2), SIMATIC WinCC…
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V7.4 (All versions < V7.4 SP1 Update 23), SIMATIC WinCC V7.5 (All versions < V7.5 SP2 Update 17), SIMATIC WinCC V8.0 (All versions < V8.0 Update 5). The affected products do not properly handle certain requests to their web application, which may lead to the leak of privileged information. This could allow an unauthenticated remote attacker to retrieve information such as users and passwords.
- 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.