Cyber Resilience

CVE-2021-21060

Medium

Published: 11 February 2021

Published
11 February 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 4.6 CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:L/I:N/A:L
EPSS Score 0.0027 51.3th percentile
Risk Priority 9 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2021-21060 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Adobe Acrobat. Its CVSS base score is 4.6 (Medium).

Operationally, ranked in the top 48.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Adobe Acrobat Pro DC versions 2020.013.20074 (and earlier), 2020.001.30018 (and earlier) and 2017.011.30188 (and earlier) are affected by an improper input validation vulnerability. An unauthenticated attacker could leverage this vulnerability to disclose sensitive information in the context of the current…

more

user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.

CWE(s)

Related Threats

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

Affected Assets

adobe
acrobat
17.0 — 17.011.30188 · 20.0 — 20.001.30018
adobe
acrobat dc
≤ 20.013.20074
adobe
acrobat reader
17.0 — 17.011.30188 · 20.0 — 20.001.300183
adobe
acrobat reader dc
≤ 20.013.20074

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