CVE-2021-3675
Published: 16 June 2022
Summary
CVE-2021-3675 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Synaptics Fingerprint Driver. Its CVSS base score is 5.5 (Medium).
Operationally, ranked at the 34.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-26967
Vulnerability details
Improper Input Validation vulnerability in synaTEE.signed.dll of Synaptics Fingerprint Driver allows a local authorized attacker to overwrite a heap tag, with potential loss of confidentiality. This issue affects: Synaptics Synaptics Fingerprint Driver 5.1.xxx.26 versions prior to xxx=340 on x86/64; 5.2.xxxx.26…
more
versions prior to xxxx=3541 on x86/64; 5.2.2xx.26 versions prior to xx=29 on x86/64; 5.2.3xx.26 versions prior to xx=25 on x86/64; 5.3.xxxx.26 versions prior to xxxx=3543 on x86/64; 5.5.xx.1058 versions prior to xx=44 on x86/64; 5.5.xx.1102 versions prior to xx=34 on x86/64; 5.5.xx.1116 versions prior to xx=14 on x86/64; 6.0.xx.1104 versions prior to xx=50 on x86/64; 6.0.xx.1108 versions prior to xx=31 on x86/64; 6.0.xx.1111 versions prior to xx=58 on x86/64.
- 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Out-of-bounds writes that corrupt control flow or inject shellcode are rendered non-executable by the same memory protections.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.