CVE-2024-7332

CWE-259 in A vulnerability was found in TOTOLINK CP450 4

Verified by Precogs Threat Research
Last Updated: Aug 9, 2024
Base Score
9.8CRITICAL

Executive Summary

CVE-2024-7332 is a critical severity vulnerability affecting appsec. It is classified as CWE-259. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"TOTOLINK CP450 routers contain an OS command injection vulnerability in the web management interface. Authenticated attackers inject shell commands into configuration fields to execute code as root on the device. Precogs API Security Engine maps untrusted hardware parameters directly to shell execution."

Exploit Probability (EPSS)
High (92.1%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecCWE-259

What is this vulnerability?

CVE-2024-7332 is categorized as a critical CWE-259 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.

A vulnerability was found in TOTOLINK CP450 4.1.0cu.747_B20191224. It has been classified as critical. This affects an unknown part of the file /web_cste/cgi-bin/product.ini of the component Telnet Service. The manipulation leads to use of hard-coded password. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. The associated identifier of this vulnerability is VDB-273255. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.

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:U/C:H/I:H/A:H
PublishedAugust 1, 2024
Last ModifiedAugust 9, 2024
Related CWEsCWE-259, CWE-798

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-2024-7332

  1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
  2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
  3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
  4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

TOTOLINK CP450 routers contain an OS command injection vulnerability in the web management interface. Authenticated attackers inject shell commands into configuration fields to execute code as root on the device. Precogs API Security Engine maps untrusted hardware parameters directly to shell execution.

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.

Start scanning with Precogs →

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

Related Vulnerabilitiesvia CWE-259

Is your system affected?

Precogs AI detects CVE-2024-7332 in compiled binaries, LLMs, and application layers — even without source code access.