CVE-2019-12240
Deserialization of Untrusted Data in The Virim plugin 0
Executive Summary
CVE-2019-12240 is a critical severity vulnerability affecting appsec. It is classified as Unsafe Deserialization. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.
Precogs AI Insight
"Precogs AI Analysis Engine identifies this vulnerability class through semantic code analysis powered by Code Property Graph (CPG) technology, performing inter-procedural taint tracking to detect injection flaws, broken authentication, and insecure data flows across your entire codebase."
What is this vulnerability?
CVE-2019-12240 is categorized as a critical Deserialization of Untrusted Data flaw with a CVSS base score of 9.8. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
The Virim plugin 0.4 for WordPress allows Insecure Deserialization via s_values, t_values, or c_values in graph.php.
This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.
Risk Assessment
| Metric | Value |
|---|---|
| CVSS Base Score | 9.8 (CRITICAL) |
| Vector String | CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| Published | May 20, 2019 |
| Last Modified | November 21, 2024 |
| Related CWEs | CWE-502 |
Impact on Systems
✅ Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.
✅ Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.
✅ Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.
How to Fix and Mitigate CVE-2019-12240
- Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
- Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
- Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
- Audit Dependencies: Review and update all third-party libraries and transitive dependencies.
Defending with Precogs AI
Precogs AI Analysis Engine identifies this vulnerability class through semantic code analysis powered by Code Property Graph (CPG) technology, performing inter-procedural taint tracking to detect injection flaws, broken authentication, and insecure data flows across your entire codebase.
Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | Serialized object from untrusted network traffic |
| Vector | Object instantiation during deserialization |
| Sink | ObjectInputStream.readObject() or similar |
| Impact | Remote Code Execution (RCE) via gadget chains |
Vulnerable Code Pattern
// ❌ VULNERABLE: Unsafe deserialization
public Object deserialize(byte[] data) throws Exception {
ByteArrayInputStream bais = new ByteArrayInputStream(data);
ObjectInputStream ois = new ObjectInputStream(bais);
// Taint sink: instantiates arbitrary classes
return ois.readObject();
}
Secure Code Pattern
// ✅ SECURE: Type-restricted deserialization
public Object deserialize(byte[] data) throws Exception {
ByteArrayInputStream bais = new ByteArrayInputStream(data);
// Use ValidatingObjectInputStream (Apache Commons IO)
ValidatingObjectInputStream ois = new ValidatingObjectInputStream(bais);
ois.accept(SafeClass.class);
// Sanitized instantiation
return ois.readObject();
}
How Precogs Detects This
Precogs AI Analysis Engine natively intercepts unsafe deserialization sinks to prevent remote code execution via object instantiation.