CVE-2017-5638

The Jakarta Multipart parser in Apache Struts 2 2.

Verified by Precogs Threat Research
Last Updated: Mar 21, 2026
Base Score
9.8CRITICAL

Executive Summary

CVE-2017-5638 is a critical severity vulnerability affecting appsec. It is classified as an undisclosed flaw. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Apache Struts 2 contains a critical remote code execution vulnerability in the Jakarta Multipart parser. Attackers send a crafted Content-Type header containing an OGNL expression (e.g., %{(#cmd='whoami')}) that the framework evaluates during error handling, executing arbitrary OS commands with the privileges of the web server. This requires zero authentication and has been massively exploited in the wild, including in the Equifax breach. Precogs Application Security Module traces HTTP header values through expression language evaluation sinks, detecting OGNL/SpEL injection before deployment."

Exploit Probability (EPSS)
High (94.3%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecNVD Database

What is this vulnerability?

CVE-2017-5638 is categorized as a critical Application Verification Flaw flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

The Jakarta Multipart parser in Apache Struts 2 2.3.x before 2.3.32 and 2.5.x before 2.5.10.1 has incorrect exception handling and error-message generation.

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

MetricValue
CVSS Base Score9.8 (CRITICAL)
Vector StringN/A
PublishedMarch 21, 2026
Last ModifiedMarch 21, 2026
Related CWEsN/A

Impact on Systems

Unauthorized Access: Flaws in application logic can permit unauthorized interaction with protected APIs.

Data Manipulation: Adversaries may alter critical application states, such as user roles or configurations.

Service Disruption: Improper error handling or unvalidated inputs can lead to resource exhaustion.

How to fix this issue?

Implement the following strategic mitigations immediately to eliminate the attack surface.

1. Defense in Depth Implement multi-layered validation (client-side, API gateway, and server-side).

2. Least Privilege Ensure backend service accounts operate with the absolute minimum rights required.

3. Security Regression Testing Integrate automated semantic security scanning into the deployment pipeline.

Vulnerability Signature

Apache Struts 2 contains a critical remote code execution vulnerability in the Jakarta Multipart parser. Attackers send a crafted Content-Type header containing an OGNL expression (e.g., %{(#cmd='whoami')}) that the framework evaluates during error handling, executing arbitrary OS commands with the privileges of the web server. This requires zero authentication and has been massively exploited in the wild, including in the Equifax breach. Precogs Application Security Module traces HTTP header values through expression language evaluation sinks, detecting OGNL/SpEL injection before deployment.

References and Sources

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication compromise, Logic Bypass, Data Exfiltration

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n

Is your system affected?

Precogs AI detects CVE-2017-5638 in compiled binaries, LLMs, and application layers — even without source code access.