Cyber Resilience

CVE-2020-29075

High

Published: 23 February 2021

Published
23 February 2021
Modified
21 November 2024
KEV Added
Patch
CVSS Score v3.1 7.1 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:N
EPSS Score 0.0124 79.7th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2020-29075 is a high-severity Improper Input Validation (CWE-20) vulnerability in Adobe Acrobat. Its CVSS base score is 7.1 (High).

Operationally, ranked in the top 20.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

EU & UK References

Vulnerability details

Acrobat Reader DC versions 2020.013.20066 (and earlier), 2020.001.30010 (and earlier) and 2017.011.30180 (and earlier) are affected by an information exposure vulnerability, that could enable an attacker to get a DNS interaction and track if the user has opened or closed…

more

a PDF file when loaded from the filesystem without a prompt. User interaction is required to exploit this vulnerability.

CWE(s)

Related Threats

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

Affected Assets

adobe
acrobat
17.011.30059 — 17.011.30180 · 20.001.30005 — 20.001.30010
adobe
acrobat dc
15.008.20082 — 20.013.20066
adobe
acrobat reader
17.011.30059 — 17.011.30180 · 20.001.30005 — 20.001.30010
adobe
acrobat reader dc
15.008.20082 — 20.013.20066

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-200

Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.

addresses: CWE-200

Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.

addresses: CWE-200

Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.

addresses: CWE-200

By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.

addresses: CWE-200

Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.

addresses: CWE-200

Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.

addresses: CWE-200

Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.

addresses: CWE-200

Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.

References