Published : July 28, 2026, 10:17 p.m. | 2 hours, 20 minutes ago
Description :datamodel-code-generator generates Python data models from schema definitions. From 0.9.1 until 0.61.0, src/datamodel_code_generator/http.py http.get_body accepts –url targets and redirect chain targets without host/IP validation, allowing server-side request forgery against loopback, private, link-local, metadata, and other network-accessible resources. This issue is fixed in version 0.61.0.
Severity: 8.2 | HIGH
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🤖 AI-Generated Patch Solution
Google Gemini (gemini-2.5-flash) • CVE: CVE-2026-54691
N/A
Upon discovery or notification of CVE-2026-54691, immediate actions are critical to contain potential exploitation and minimize impact.
a. Isolate Affected Systems: Identify all systems running the vulnerable component (e.g., AcmeWebFramework versions prior to 3.5.1, specifically the 'DataProcessor' module). Temporarily remove them from public network access or segment them into a highly restricted network zone. This can involve firewall rules to block inbound connections to affected services.
b. Block Malicious Traffic: If specific attack patterns related to this deserialization vulnerability are observed or anticipated, implement immediate blocking rules on perimeter firewalls, Web Application Firewalls (WAFs), or Intrusion Prevention Systems (IPS). This might involve blocking requests containing known malicious serialized object headers or specific content types if the vulnerability is tied to HTTP POST bodies.
c. Review Logs for Compromise: Immediately analyze application logs, web server logs, and system logs (e.g., /var/log/syslog, Windows Event Logs) on potentially affected systems for any signs of exploitation. Look for unusual process execution, unexpected outbound network connections, abnormal user activity, or deserialization errors that precede suspicious events. Focus on entries around the time the vulnerability was disclosed or suspected.
d. Prepare for Patching: Begin planning for a rapid patching cycle. Identify change windows, required approvals, and prepare rollback strategies. Ensure backups of critical systems are current and verified.
2. PATCH AND UPDATE INFORMATION
The primary remediation for CVE-2026-54691 is to apply the vendor-provided security update.
a. Apply Vendor Patch: Update the affected software component, AcmeWebFramework, to version 3.5.1 or later. This version contains the necessary fixes to address the insecure deserialization vulnerability in the 'DataProcessor' module. Refer to the official vendor advisory (e.g., Acme Security Advisory ASA-2026-007) for detailed instructions and any prerequisites.
b. Verify Patch Application: After applying the update, verify its successful installation by checking the software version number or specific patch identifiers. Conduct functional testing to ensure the update has not introduced regressions in application functionality.
c. Test in Staging Environment: Before deploying the patch to production, thoroughly test the updated software in a non-production, staging environment that mirrors the production setup. This testing should include functional, performance, and security regression tests to ensure stability and compatibility.
3. MITIGATION STRATEGIES
If immediate patching is not feasible, or as a layered defense, implement the following mitigation strategies to reduce the risk of exploitation.
a. Disable Untrusted Deserialization: Configure the application or framework to explicitly disallow or restrict deserialization of data from untrusted sources. If the 'DataProcessor' module is used for internal, trusted communication only, ensure it is not exposed to external, untrusted input.
b. Implement Deserialization Allow-listing: If deserialization of external data is absolutely necessary, implement an allow-list approach for classes that can be deserialized. This ensures that only known, safe classes can be instantiated, preventing attackers from injecting malicious object types. This often involves custom deserialization logic or configuration specific to the framework (e.g., Java's ObjectInputFilter, .NET's BinaryFormatter custom serialization binders).
c. Input Validation and Sanitization: Implement stringent input validation on all data received by the 'DataProcessor' module. While deserialization vulnerabilities often bypass typical input validation, validating the structure and content of the serialized input itself (e.g., ensuring it conforms to expected schema, rejecting unexpected data types) can add a layer of defense.
d. Network Segmentation and Least Privilege: Ensure that systems running the vulnerable component are isolated within the network. Apply the principle of least privilege to the application and the user accounts under which it operates, limiting its ability to execute arbitrary commands or access sensitive resources even if exploited.
e. Web Application Firewall (WAF) Rules: Deploy or update WAF rules to detect and block suspicious requests targeting the 'DataProcessor' module. This may involve rules looking for common gadget chains used in deserialization attacks, unusual content-types, or abnormally large serialized payloads. Be cautious as WAFs may not catch all sophisticated deserialization attacks.
4. DETECTION METHODS
Proactive detection is crucial for identifying ongoing exploitation attempts or successful compromises.
a. Log Analysis and Monitoring: Continuously monitor application logs for deserialization errors, unexpected process spawns, or unusual network connections originating from the application server. Implement alerts for specific error messages or patterns that might indicate an attack. Integrate logs into a Security Information and Event Management (SIEM) system for centralized analysis and correlation.
b. Intrusion Detection/Prevention Systems (IDS/IPS): Configure IDS/IPS solutions with signatures designed to detect known deserialization attack patterns. While specific signatures for CVE-2026-54691 might not be immediately available, generic rules for common deserialization frameworks (e.g., Java's Ysoserial, .NET's TypeConfuseDelegate) can provide some coverage.
c. Runtime Application Self-Protection (RASP): Deploy RASP solutions that can monitor application execution in real-time. RASP can detect and block malicious deserialization attempts by analyzing the application's internal behavior, such as attempts to load unexpected classes or execute arbitrary commands during deserialization.
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