CVE-2019-8943
WordPress through 5.
Executive Summary
CVE-2019-8943 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
"The primary vulnerability vector is rooted in within WordPress, allowing flawed state management logic. Exploitation typically involves an attacker attempting to silently exfiltrate sensitive routing topologies and internal schemas. The Precogs AI's Code Property Graph analysis traces untrusted input to flag these architectural defects instantly."
What is this vulnerability?
CVE-2019-8943 is categorized as a critical Path Traversal flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.
WordPress through 5.0.3 allows Path Traversal in wp_crop_image(). An attacker (who has privileges to crop an image) can write the output image to an arbitr.
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 | N/A |
| Published | March 21, 2026 |
| Last Modified | March 21, 2026 |
| Related CWEs | N/A |
Impact on Systems
✅ Sensitive File Disclosure: Unauthorized access to critical configuration files (/etc/passwd, .env files, private SSH keys).
✅ Application Source Leak: Attackers can download proprietary source code and hardcoded credentials.
✅ Remote Code Execution: By combining with log poisoning, attackers can write PHP/JSP shells into web-accessible directories.
How to fix this issue?
Implement the following strategic mitigations immediately to eliminate the attack surface.
1. Indirect References Avoid using direct file paths. Utilize indirect references (like database IDs) mapped to backend files.
2. Strict Path Resolution If direct paths are required, resolve the absolute path and rigorously verify the path starts with the expected base directory using native OS path resolving functions.
3. Chroot Jails Confine the application processes to highly restricted directory structures (chroot) with minimum readable boundaries.
Vulnerability Signature
// Vulnerable File Access
import os
def get_image(request):
filename = request.GET.get('file')
# VULNERABLE: No validation preventing moving upwards in the directory tree
filepath = os.path.join('/var/www/images/', filename)
return open(filepath, 'rb').read()
// EXPLOIT PAYLOAD: ?file=../../../../../../../../etc/passwd
References and Sources
Vulnerability Code Signature
Attack Data Flow
| Stage | Detail |
|---|---|
| Source | Untrusted User Input |
| Vector | Input flows through the application logic without sanitization |
| Sink | Execution or Rendering Sink |
| Impact | Application 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