CVE-2022-34239: Out-of-bounds Read (CWE-125) in Adobe Acrobat Reader
Adobe Acrobat Reader versions 22.001.20142 (and earlier), 20.005.30334 (and earlier) and 17.012.30229 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. 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.
AI Analysis
Technical Summary
CVE-2022-34239 is an out-of-bounds read vulnerability (CWE-125) affecting multiple versions of Adobe Acrobat Reader, specifically versions 22.001.20142 and earlier, 20.005.30334 and earlier, and 17.012.30229 and earlier. This vulnerability allows an attacker to read memory outside the intended buffer boundaries, potentially disclosing sensitive information from the process memory space. Such information disclosure can be leveraged to bypass security mitigations like Address Space Layout Randomization (ASLR), which is designed to prevent exploitation of memory corruption vulnerabilities by randomizing memory addresses. The exploitation requires user interaction, specifically that the victim opens a crafted malicious PDF file. There are no known exploits in the wild at the time of this report, and no official patches or updates have been linked in the provided information. The vulnerability primarily impacts confidentiality by exposing sensitive memory content, but does not directly allow code execution or system compromise without further chaining with other vulnerabilities. The affected product, Adobe Acrobat Reader, is widely used globally, including across European organizations, for viewing and managing PDF documents.
Potential Impact
For European organizations, the impact of CVE-2022-34239 centers on potential leakage of sensitive information from memory when users open malicious PDF files. This could lead to exposure of confidential data such as cryptographic keys, credentials, or other sensitive application data residing in memory. The ability to bypass ASLR could facilitate more sophisticated attacks if combined with other vulnerabilities, increasing the risk of targeted attacks against high-value assets. Sectors such as finance, government, legal, and critical infrastructure in Europe, which heavily rely on Adobe Acrobat Reader for document handling, could be at risk of information disclosure. Although no direct remote code execution is enabled by this vulnerability alone, the confidentiality breach and potential for exploitation in multi-stage attacks pose a significant concern. The requirement for user interaction limits the attack vector to social engineering or phishing campaigns delivering malicious PDFs. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time.
Mitigation Recommendations
European organizations should implement targeted mitigations beyond generic advice: 1) Enforce strict email and document filtering policies to detect and block malicious PDFs before reaching end users, leveraging advanced sandboxing and content inspection tools. 2) Educate users about the risks of opening unsolicited or unexpected PDF attachments, emphasizing verification of sender authenticity. 3) Deploy application whitelisting and restrict Adobe Acrobat Reader usage to trusted documents and sources where feasible. 4) Monitor and analyze logs for unusual Acrobat Reader activity or crashes that may indicate exploitation attempts. 5) Maintain an inventory of Adobe Acrobat Reader versions deployed and prioritize upgrading to the latest patched versions as soon as Adobe releases fixes. 6) Consider deploying endpoint detection and response (EDR) solutions capable of detecting anomalous memory access patterns or exploitation behaviors related to out-of-bounds reads. 7) Implement network segmentation to limit lateral movement in case of a successful compromise following exploitation. These measures collectively reduce the attack surface and improve detection and response capabilities specific to this vulnerability.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden, Poland, Switzerland
CVE-2022-34239: Out-of-bounds Read (CWE-125) in Adobe Acrobat Reader
Description
Adobe Acrobat Reader versions 22.001.20142 (and earlier), 20.005.30334 (and earlier) and 17.012.30229 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. 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.
AI-Powered Analysis
Technical Analysis
CVE-2022-34239 is an out-of-bounds read vulnerability (CWE-125) affecting multiple versions of Adobe Acrobat Reader, specifically versions 22.001.20142 and earlier, 20.005.30334 and earlier, and 17.012.30229 and earlier. This vulnerability allows an attacker to read memory outside the intended buffer boundaries, potentially disclosing sensitive information from the process memory space. Such information disclosure can be leveraged to bypass security mitigations like Address Space Layout Randomization (ASLR), which is designed to prevent exploitation of memory corruption vulnerabilities by randomizing memory addresses. The exploitation requires user interaction, specifically that the victim opens a crafted malicious PDF file. There are no known exploits in the wild at the time of this report, and no official patches or updates have been linked in the provided information. The vulnerability primarily impacts confidentiality by exposing sensitive memory content, but does not directly allow code execution or system compromise without further chaining with other vulnerabilities. The affected product, Adobe Acrobat Reader, is widely used globally, including across European organizations, for viewing and managing PDF documents.
Potential Impact
For European organizations, the impact of CVE-2022-34239 centers on potential leakage of sensitive information from memory when users open malicious PDF files. This could lead to exposure of confidential data such as cryptographic keys, credentials, or other sensitive application data residing in memory. The ability to bypass ASLR could facilitate more sophisticated attacks if combined with other vulnerabilities, increasing the risk of targeted attacks against high-value assets. Sectors such as finance, government, legal, and critical infrastructure in Europe, which heavily rely on Adobe Acrobat Reader for document handling, could be at risk of information disclosure. Although no direct remote code execution is enabled by this vulnerability alone, the confidentiality breach and potential for exploitation in multi-stage attacks pose a significant concern. The requirement for user interaction limits the attack vector to social engineering or phishing campaigns delivering malicious PDFs. The absence of known exploits reduces immediate risk but does not eliminate the threat, especially as attackers may develop exploits over time.
Mitigation Recommendations
European organizations should implement targeted mitigations beyond generic advice: 1) Enforce strict email and document filtering policies to detect and block malicious PDFs before reaching end users, leveraging advanced sandboxing and content inspection tools. 2) Educate users about the risks of opening unsolicited or unexpected PDF attachments, emphasizing verification of sender authenticity. 3) Deploy application whitelisting and restrict Adobe Acrobat Reader usage to trusted documents and sources where feasible. 4) Monitor and analyze logs for unusual Acrobat Reader activity or crashes that may indicate exploitation attempts. 5) Maintain an inventory of Adobe Acrobat Reader versions deployed and prioritize upgrading to the latest patched versions as soon as Adobe releases fixes. 6) Consider deploying endpoint detection and response (EDR) solutions capable of detecting anomalous memory access patterns or exploitation behaviors related to out-of-bounds reads. 7) Implement network segmentation to limit lateral movement in case of a successful compromise following exploitation. These measures collectively reduce the attack surface and improve detection and response capabilities specific to this vulnerability.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- adobe
- Date Reserved
- 2022-06-21T00:00:00.000Z
- Cisa Enriched
- true
Threat ID: 682d9844c4522896dcbf37bc
Added to database: 5/21/2025, 9:09:24 AM
Last enriched: 6/23/2025, 2:20:00 AM
Last updated: 8/17/2025, 5:17:00 PM
Views: 13
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