CVE-2019-16278

Nostromo nhttpd Directory Traversal Vulnerability

Verified by Precogs Threat Research
Last Updated: Nov 7, 2024
Base Score
9.8CRITICAL

Executive Summary

CVE-2019-16278 is a critical severity vulnerability affecting appsec. It is classified as an undisclosed flaw. This vulnerability is actively being exploited in the wild.

Precogs AI Insight

"This critical flaw stems from within Nostromo nhttpd, allowing an architectural oversight in input validation. An attacker can craft a specific payload to compromise the entire application stack, rendering traditional defenses ineffective. Precogs AI Analysis Engine utilizes semantic code analysis to ensure strict authentication requirements are met."

Exploit Probability (EPSS)
High (94.4%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Actively Exploited
Affected Assets
appsecNVD Database

What is this vulnerability?

CVE-2019-16278 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.

Nostromo nhttpd contains a directory traversal vulnerability in the http_verify() function in a non-chrooted nhttpd server allowing for remote code executi.

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 StringCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
PublishedNovember 7, 2024
Last ModifiedNovember 7, 2024
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-2019-16278 in compiled binaries, LLMs, and application layers — even without source code access.