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CVE-2025-3818: SQL Injection in webpy web.py

Medium
VulnerabilityCVE-2025-3818cvecve-2025-3818
Published: Sat Apr 19 2025 (04/19/2025, 19:31:19 UTC)
Source: CVE Database V5
Vendor/Project: webpy
Product: web.py

Description

A vulnerability, which was classified as critical, was found in webpy web.py 0.70. Affected is the function PostgresDB._process_insert_query of the file web/db.py. The manipulation of the argument seqname leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.

AI-Powered Analysis

AILast updated: 07/08/2025, 03:39:29 UTC

Technical Analysis

CVE-2025-3818 is a SQL Injection vulnerability identified in version 0.70 of the web.py framework, specifically within the PostgresDB._process_insert_query function located in the web/db.py file. The vulnerability arises from improper handling and sanitization of the 'seqname' argument, which can be manipulated by an attacker to inject malicious SQL code. This flaw allows an attacker to remotely execute arbitrary SQL commands against the backend PostgreSQL database without requiring authentication or user interaction. The vulnerability is classified as medium severity with a CVSS 4.0 base score of 5.3, reflecting the network attack vector, low attack complexity, no privileges required, and no user interaction needed. The impact on confidentiality, integrity, and availability is rated low individually, which collectively results in the medium severity rating. Although no known exploits are currently observed in the wild, the public disclosure of the vulnerability increases the risk of exploitation. The vulnerability affects only version 0.70 of web.py, a lightweight Python web framework used to build web applications. Given the nature of SQL injection, successful exploitation could lead to unauthorized data access, data modification, or denial of service through database corruption or resource exhaustion. The vulnerability does not have an official patch link yet, so users of the affected version should consider mitigation strategies promptly.

Potential Impact

For European organizations, the impact of this vulnerability depends largely on the extent to which web.py 0.70 is used in their web application stacks, particularly those interfacing with PostgreSQL databases. Organizations relying on web.py for critical web services could face data breaches, unauthorized data manipulation, or service disruptions if exploited. This is especially concerning for sectors handling sensitive personal data under GDPR, such as healthcare, finance, and government services. The ability to remotely exploit the vulnerability without authentication increases the risk of automated attacks and widespread scanning by threat actors. Even though the CVSS score indicates medium severity, the potential for data exposure or integrity compromise could lead to regulatory penalties and reputational damage. Additionally, the lack of a patch at the time of disclosure means organizations must act quickly to implement compensating controls to prevent exploitation.

Mitigation Recommendations

1. Immediate mitigation should include auditing all web.py 0.70 deployments and identifying any usage of the PostgresDB._process_insert_query function or similar database interaction points that accept the 'seqname' parameter. 2. Where possible, upgrade to a patched version of web.py once available; if no patch exists, consider upgrading to a later version that does not contain this vulnerability or switching to alternative frameworks. 3. Implement strict input validation and sanitization on all inputs that interact with database queries, especially those involving sequence names or identifiers. 4. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'seqname' parameter. 5. Restrict database user permissions to the minimum necessary, avoiding elevated privileges that could exacerbate the impact of injection attacks. 6. Monitor application logs and database query logs for unusual or suspicious activity indicative of SQL injection attempts. 7. Conduct penetration testing focusing on SQL injection vectors to verify the effectiveness of mitigations. 8. Consider network segmentation and limiting external access to vulnerable application components until remediation is complete.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-04-18T23:50:27.278Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 68386122182aa0cae27f1da7

Added to database: 5/29/2025, 1:29:06 PM

Last enriched: 7/8/2025, 3:39:29 AM

Last updated: 8/5/2025, 3:45:18 AM

Views: 15

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