CVE-2022-28264: Adobe Acrobat Reader DC Annotation Out-Of-Bounds Read Information Disclosure Vulnerability
Acrobat Reader DC version 22.001.2011x (and earlier), 20.005.3033x (and earlier) and 17.012.3022x (and earlier) are affected by an out-of-bounds read vulnerability when parsing a crafted file, which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Security readout for executives and security teams
Plain-English summary
CVE-2022-28264 is an Adobe Acrobat Reader DC flaw triggered when a user opens a malicious file. It can expose sensitive process memory and may help an attacker bypass protections like ASLR. The sources do not show active exploitation or a standalone remote compromise path.
Executive priority
Handle this as a routine but important endpoint patching item. It is not evidenced as actively exploited, but document-based bugs can support phishing chains and mitigation bypass. Prioritize broad Reader update coverage over emergency response.
Technical view
The issue is a CWE-125 out-of-bounds read during crafted file parsing in Acrobat Reader DC 22.001.2011x and earlier, 20.005.3033x and earlier, and 17.012.3022x and earlier. CVSS 3.1 is 5.5: local attack vector, low complexity, no privileges, user interaction required, high confidentiality impact only.
Likely exposure
Exposure is mainly on endpoints where users can open untrusted PDFs or other Acrobat Reader-handled files. Higher-risk groups include email-heavy users, help desks, legal, finance, and teams receiving documents from external parties.
Exploitation context
The CVE record says exploitation requires a victim to open a malicious file. The provided sources do not confirm known exploitation, CISA KEV listing, public exploit availability, or malware use.
Researcher notes
Public details support an information disclosure and ASLR-bypass aid, not integrity impact, availability impact, or confirmed code execution. Evidence is limited to the CVE description, CVSS vector, affected version ranges, and Adobe advisory reference.
Mitigation direction
Review Adobe APSB22-16 and apply the vendor-specified Acrobat Reader updates.
Prioritize users who routinely receive external documents or attachments.
Restrict opening untrusted documents from email, chat, and unmanaged web sources.
Use endpoint controls and document sandboxing where already available.
Monitor Adobe guidance for any revised affected-version or fix information.
Validation and detection
Inventory Acrobat Reader DC versions across managed endpoints.
Compare installed versions with the affected version ranges in the CVE record.
Confirm update compliance against Adobe APSB22-16 guidance.
Check whether high-risk user groups still run vulnerable builds.
Review security telemetry for suspicious document delivery, without assuming exploitation.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
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cwe · low confidence lookup
CWE-125: Exact CWE lookup
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These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-125 · source CWE mapping
Out-of-bounds Read
Out-of-bounds Read represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.