Cyber Resilience

CVE-2021-32471

HighPublic PoC

Published: 10 May 2021

Published
10 May 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 7.8 CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0322 87.3th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2021-32471 is a high-severity Improper Input Validation (CWE-20) vulnerability in Mit Universal Turing Machine. Its CVSS base score is 7.8 (High).

Operationally, ranked in the top 12.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability details

Insufficient input validation in the Marvin Minsky 1967 implementation of the Universal Turing Machine allows program users to execute arbitrary code via crafted data. For example, a tape head may have an unexpected location after the processing of input composed…

more

of As and Bs (instead of 0s and 1s). NOTE: the discoverer states "this vulnerability has no real-world implications."

CWE(s)

Related Threats

No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.

Affected Assets

mit
universal turing machine
all versions

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.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

References