CVE-2023-32235

Ghost before 5.

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

Executive Summary

CVE-2023-32235 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 defect is inherently caused by within Ghost, allowing the improper handling of untrusted input. In practice, this allows unauthorized actors to escalate their own privileges to administrative levels without proper credentials. By intercepting insecure data flows from user input directly to rendering sinks, Precogs is designed to flag these architectural defects instantly."

Exploit Probability (EPSS)
High (94.1%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecNVD Database

What is this vulnerability?

CVE-2023-32235 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.

Ghost before 5.42.1 allows remote attackers to read arbitrary files within the active theme's folder via /assets/built%2F..%2F..%2F/ directory traversal. T.

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

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

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-2023-32235 in compiled binaries, LLMs, and application layers — even without source code access.