CVE-2026-24857: CWE-122: Heap-based Buffer Overflow in simsong bulk_extractor
CVE-2026-24857 is a medium-severity heap-based buffer overflow vulnerability in the simsong bulk_extractor tool, specifically in its embedded unrar code used for RAR PPM LZ decoding. The flaw exists in versions 1. 4 through 2. 1. 1 and can be triggered by a crafted RAR archive inside a disk image, causing out-of-bounds writes leading to crashes or memory corruption. There is potential for remote code execution (RCE) exploitation, although no known exploits or patches are currently available. The vulnerability requires no authentication or user interaction and can be exploited remotely by processing malicious disk images. European organizations using bulk_extractor for digital forensics or incident response may face risks of system crashes or compromise. Mitigation currently relies on avoiding untrusted RAR files and monitoring for updates from the vendor. Countries with significant digital forensics operations and cybersecurity industries, such as Germany, the UK, France, and the Netherlands, are more likely to be affected due to their adoption of such tools.
AI Analysis
Technical Summary
The vulnerability CVE-2026-24857 affects the simsong bulk_extractor digital forensics tool, specifically in its embedded unrar decompression code starting from version 1.4 up to 2.1.1. The issue is a heap-based buffer overflow (CWE-122) occurring in the RAR PPM LZ decoding path within the function Unpack::CopyString. When bulk_extractor processes a crafted RAR archive embedded inside a disk image, it triggers an out-of-bounds write on the heap. Under AddressSanitizer (ASAN), this causes a crash, but in production environments without such protections, it can lead to memory corruption. This memory corruption could be leveraged for remote code execution (RCE), allowing an attacker to execute arbitrary code on the system running bulk_extractor. The vulnerability requires no privileges, no user interaction, and can be exploited remotely by supplying a malicious disk image containing the crafted RAR archive. As of the publication date, no patches or fixes have been released, and no known exploits are detected in the wild. The CVSS 4.0 score is 5.5 (medium severity), reflecting the network attack vector, low complexity, no required privileges, and potential for limited impact on confidentiality, integrity, and availability. The lack of authentication and user interaction requirements increases the risk profile. bulk_extractor is widely used in digital forensics and incident response to extract data from disk images, making this vulnerability particularly relevant to organizations relying on this tool for investigations and malware analysis.
Potential Impact
For European organizations, the vulnerability poses a risk of denial-of-service through crashes or potentially full system compromise via remote code execution when processing malicious disk images containing crafted RAR archives. This can disrupt forensic investigations, delay incident response, and compromise the integrity and confidentiality of forensic data. Organizations involved in law enforcement, cybersecurity firms, and governmental agencies conducting digital forensics are especially at risk. The exploitation could allow attackers to gain unauthorized access to forensic workstations, manipulate evidence, or pivot within networks. The absence of patches increases exposure time, and reliance on bulk_extractor in critical investigations amplifies operational risks. Additionally, memory corruption vulnerabilities can be leveraged to bypass security controls, increasing the threat to system integrity. The medium CVSS score indicates moderate risk, but the potential for RCE elevates the impact if exploited successfully.
Mitigation Recommendations
Until an official patch is released, European organizations should implement strict controls on the sources of disk images processed by bulk_extractor, avoiding untrusted or unknown RAR archives. Employ sandboxing or isolated environments for forensic analysis to contain potential exploitation. Use memory protection tools such as AddressSanitizer or other runtime protections to detect and prevent exploitation during analysis. Monitor bulk_extractor usage logs for anomalies or crashes that could indicate exploitation attempts. Consider alternative forensic tools that do not embed vulnerable unrar code or use updated versions if available. Establish network segmentation and least privilege principles for forensic workstations to limit attacker movement if compromise occurs. Maintain up-to-date threat intelligence to respond quickly once patches or exploits emerge. Engage with the vendor or community for updates and potential workarounds. Finally, conduct regular security training for forensic analysts to recognize suspicious disk images and handle them securely.
Affected Countries
Germany, United Kingdom, France, Netherlands, Italy, Spain, Belgium, Sweden
CVE-2026-24857: CWE-122: Heap-based Buffer Overflow in simsong bulk_extractor
Description
CVE-2026-24857 is a medium-severity heap-based buffer overflow vulnerability in the simsong bulk_extractor tool, specifically in its embedded unrar code used for RAR PPM LZ decoding. The flaw exists in versions 1. 4 through 2. 1. 1 and can be triggered by a crafted RAR archive inside a disk image, causing out-of-bounds writes leading to crashes or memory corruption. There is potential for remote code execution (RCE) exploitation, although no known exploits or patches are currently available. The vulnerability requires no authentication or user interaction and can be exploited remotely by processing malicious disk images. European organizations using bulk_extractor for digital forensics or incident response may face risks of system crashes or compromise. Mitigation currently relies on avoiding untrusted RAR files and monitoring for updates from the vendor. Countries with significant digital forensics operations and cybersecurity industries, such as Germany, the UK, France, and the Netherlands, are more likely to be affected due to their adoption of such tools.
AI-Powered Analysis
Technical Analysis
The vulnerability CVE-2026-24857 affects the simsong bulk_extractor digital forensics tool, specifically in its embedded unrar decompression code starting from version 1.4 up to 2.1.1. The issue is a heap-based buffer overflow (CWE-122) occurring in the RAR PPM LZ decoding path within the function Unpack::CopyString. When bulk_extractor processes a crafted RAR archive embedded inside a disk image, it triggers an out-of-bounds write on the heap. Under AddressSanitizer (ASAN), this causes a crash, but in production environments without such protections, it can lead to memory corruption. This memory corruption could be leveraged for remote code execution (RCE), allowing an attacker to execute arbitrary code on the system running bulk_extractor. The vulnerability requires no privileges, no user interaction, and can be exploited remotely by supplying a malicious disk image containing the crafted RAR archive. As of the publication date, no patches or fixes have been released, and no known exploits are detected in the wild. The CVSS 4.0 score is 5.5 (medium severity), reflecting the network attack vector, low complexity, no required privileges, and potential for limited impact on confidentiality, integrity, and availability. The lack of authentication and user interaction requirements increases the risk profile. bulk_extractor is widely used in digital forensics and incident response to extract data from disk images, making this vulnerability particularly relevant to organizations relying on this tool for investigations and malware analysis.
Potential Impact
For European organizations, the vulnerability poses a risk of denial-of-service through crashes or potentially full system compromise via remote code execution when processing malicious disk images containing crafted RAR archives. This can disrupt forensic investigations, delay incident response, and compromise the integrity and confidentiality of forensic data. Organizations involved in law enforcement, cybersecurity firms, and governmental agencies conducting digital forensics are especially at risk. The exploitation could allow attackers to gain unauthorized access to forensic workstations, manipulate evidence, or pivot within networks. The absence of patches increases exposure time, and reliance on bulk_extractor in critical investigations amplifies operational risks. Additionally, memory corruption vulnerabilities can be leveraged to bypass security controls, increasing the threat to system integrity. The medium CVSS score indicates moderate risk, but the potential for RCE elevates the impact if exploited successfully.
Mitigation Recommendations
Until an official patch is released, European organizations should implement strict controls on the sources of disk images processed by bulk_extractor, avoiding untrusted or unknown RAR archives. Employ sandboxing or isolated environments for forensic analysis to contain potential exploitation. Use memory protection tools such as AddressSanitizer or other runtime protections to detect and prevent exploitation during analysis. Monitor bulk_extractor usage logs for anomalies or crashes that could indicate exploitation attempts. Consider alternative forensic tools that do not embed vulnerable unrar code or use updated versions if available. Establish network segmentation and least privilege principles for forensic workstations to limit attacker movement if compromise occurs. Maintain up-to-date threat intelligence to respond quickly once patches or exploits emerge. Engage with the vendor or community for updates and potential workarounds. Finally, conduct regular security training for forensic analysts to recognize suspicious disk images and handle them securely.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-01-27T14:51:03.061Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 697a84c24623b1157cf1f0b8
Added to database: 1/28/2026, 9:50:58 PM
Last enriched: 2/5/2026, 8:54:36 AM
Last updated: 2/7/2026, 1:23:38 AM
Views: 32
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