CVE-2025-13499: CWE-824: Access of Uninitialized Pointer in Wireshark Foundation Wireshark
Kafka dissector crash in Wireshark 4.6.0 and 4.4.0 to 4.4.10 allows denial of service
AI Analysis
Technical Summary
CVE-2025-13499 is a vulnerability identified in the Wireshark network protocol analyzer, specifically affecting versions 4.6.0 and 4.4.0 through 4.4.10. The root cause is an access of an uninitialized pointer within the Kafka protocol dissector component, classified under CWE-824 (Access of Uninitialized Pointer). When Wireshark processes specially crafted Kafka protocol packets, it may dereference a pointer that has not been properly initialized, leading to undefined behavior such as application crashes. This results in a denial of service (DoS) condition, where the Wireshark application terminates unexpectedly, disrupting network traffic analysis. The CVSS v3.1 base score is 7.8, reflecting high severity due to the high impact on confidentiality, integrity, and availability, combined with low attack complexity and no privileges required, though user interaction is necessary (opening or analyzing malicious packet captures). The vulnerability does not currently have publicly known exploits in the wild, but the potential for disruption in environments relying on Wireshark is significant. The flaw is particularly concerning for security analysts and network administrators who use Wireshark to inspect Kafka traffic, as crafted packets could be used to crash their analysis tools. No official patches or fixes are listed yet, so mitigation may require cautious handling of untrusted capture files and limiting exposure to malicious Kafka traffic.
Potential Impact
The primary impact of CVE-2025-13499 is denial of service through application crashes, which can interrupt network traffic analysis and forensic investigations. This can degrade an organization's ability to monitor and respond to network threats effectively, potentially allowing attackers to operate undetected. The vulnerability affects confidentiality and integrity indirectly by disrupting the availability of a critical security tool. In environments where Wireshark is integrated into automated monitoring or incident response workflows, crashes could cause cascading failures or delays. Organizations relying on Kafka protocol analysis within Wireshark are particularly vulnerable. The ease of exploitation is moderate since user interaction is required, but crafted packet captures can be delivered via network traffic or shared capture files. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially in targeted attacks against security teams. Overall, the vulnerability poses a significant operational risk to organizations worldwide that use affected Wireshark versions for network security monitoring.
Mitigation Recommendations
1. Immediately upgrade Wireshark to a patched version once available from the Wireshark Foundation. 2. Until patches are released, avoid opening untrusted or suspicious packet capture files, especially those containing Kafka protocol traffic. 3. Implement network segmentation and filtering to limit exposure to untrusted Kafka traffic sources. 4. Use sandboxing or isolated environments for analyzing unknown capture files to contain potential crashes. 5. Monitor network traffic for anomalous Kafka packets that could be crafted to exploit this vulnerability. 6. Educate security analysts and network engineers about the risk and safe handling practices for capture files. 7. Consider alternative tools or updated dissectors for Kafka traffic analysis if immediate patching is not feasible. 8. Integrate crash monitoring and automated restart mechanisms for Wireshark in critical environments to minimize downtime. 9. Maintain up-to-date backups of capture files and analysis configurations to recover quickly from disruptions.
Affected Countries
United States, Germany, United Kingdom, France, Japan, South Korea, Australia, Canada, Netherlands, Sweden, Singapore, India
CVE-2025-13499: CWE-824: Access of Uninitialized Pointer in Wireshark Foundation Wireshark
Description
Kafka dissector crash in Wireshark 4.6.0 and 4.4.0 to 4.4.10 allows denial of service
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-13499 is a vulnerability identified in the Wireshark network protocol analyzer, specifically affecting versions 4.6.0 and 4.4.0 through 4.4.10. The root cause is an access of an uninitialized pointer within the Kafka protocol dissector component, classified under CWE-824 (Access of Uninitialized Pointer). When Wireshark processes specially crafted Kafka protocol packets, it may dereference a pointer that has not been properly initialized, leading to undefined behavior such as application crashes. This results in a denial of service (DoS) condition, where the Wireshark application terminates unexpectedly, disrupting network traffic analysis. The CVSS v3.1 base score is 7.8, reflecting high severity due to the high impact on confidentiality, integrity, and availability, combined with low attack complexity and no privileges required, though user interaction is necessary (opening or analyzing malicious packet captures). The vulnerability does not currently have publicly known exploits in the wild, but the potential for disruption in environments relying on Wireshark is significant. The flaw is particularly concerning for security analysts and network administrators who use Wireshark to inspect Kafka traffic, as crafted packets could be used to crash their analysis tools. No official patches or fixes are listed yet, so mitigation may require cautious handling of untrusted capture files and limiting exposure to malicious Kafka traffic.
Potential Impact
The primary impact of CVE-2025-13499 is denial of service through application crashes, which can interrupt network traffic analysis and forensic investigations. This can degrade an organization's ability to monitor and respond to network threats effectively, potentially allowing attackers to operate undetected. The vulnerability affects confidentiality and integrity indirectly by disrupting the availability of a critical security tool. In environments where Wireshark is integrated into automated monitoring or incident response workflows, crashes could cause cascading failures or delays. Organizations relying on Kafka protocol analysis within Wireshark are particularly vulnerable. The ease of exploitation is moderate since user interaction is required, but crafted packet captures can be delivered via network traffic or shared capture files. The lack of known exploits reduces immediate risk but does not eliminate the threat, especially in targeted attacks against security teams. Overall, the vulnerability poses a significant operational risk to organizations worldwide that use affected Wireshark versions for network security monitoring.
Mitigation Recommendations
1. Immediately upgrade Wireshark to a patched version once available from the Wireshark Foundation. 2. Until patches are released, avoid opening untrusted or suspicious packet capture files, especially those containing Kafka protocol traffic. 3. Implement network segmentation and filtering to limit exposure to untrusted Kafka traffic sources. 4. Use sandboxing or isolated environments for analyzing unknown capture files to contain potential crashes. 5. Monitor network traffic for anomalous Kafka packets that could be crafted to exploit this vulnerability. 6. Educate security analysts and network engineers about the risk and safe handling practices for capture files. 7. Consider alternative tools or updated dissectors for Kafka traffic analysis if immediate patching is not feasible. 8. Integrate crash monitoring and automated restart mechanisms for Wireshark in critical environments to minimize downtime. 9. Maintain up-to-date backups of capture files and analysis configurations to recover quickly from disruptions.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitLab
- Date Reserved
- 2025-11-21T05:33:17.924Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 692005a604dd2c5f9990df0d
Added to database: 11/21/2025, 6:24:38 AM
Last enriched: 3/27/2026, 6:20:31 PM
Last updated: 5/10/2026, 1:55:16 AM
Views: 247
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