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CVE-2025-40925: CWE-340 Generation of Predictable Numbers or Identifiers in BLUEFEET Starch

0
Critical
VulnerabilityCVE-2025-40925cvecve-2025-40925cwe-340cwe-338
Published: Sat Sep 20 2025 (09/20/2025, 12:31:34 UTC)
Source: CVE Database V5
Vendor/Project: BLUEFEET
Product: Starch

Description

Starch versions 0.14 and earlier generate session ids insecurely. The default session id generator returns a SHA-1 hash seeded with a counter, the epoch time, the built-in rand function, the PID, and internal Perl reference addresses. The PID will come from a small set of numbers, and the epoch time may be guessed, if it is not leaked from the HTTP Date header. The built-in rand function is unsuitable for cryptographic usage. Predicable session ids could allow an attacker to gain access to systems.

AI-Powered Analysis

AILast updated: 09/28/2025, 00:44:50 UTC

Technical Analysis

CVE-2025-40925 is a critical security vulnerability affecting BLUEFEET's Starch software, specifically versions 0.14 and earlier, with confirmed impact on version 0.01. The vulnerability arises from the insecure generation of session identifiers (session IDs), which are crucial for maintaining authenticated user sessions. The default session ID generator in Starch uses a SHA-1 hash seeded with several predictable or weak entropy sources: a counter, the epoch time, the built-in Perl rand() function, the process ID (PID), and internal Perl reference addresses. Each of these components contributes to the predictability of the session IDs. The PID is drawn from a limited range of values, and the epoch time can be approximated or inferred from HTTP Date headers if exposed. The built-in rand() function is not cryptographically secure, making it unsuitable for generating unpredictable values. As a result, attackers can potentially predict or brute-force valid session IDs, enabling unauthorized access to user sessions without needing authentication or user interaction. This compromises confidentiality and integrity of user data and sessions, though availability is not directly impacted. The CVSS v3.1 score is 9.1 (critical), reflecting the network attack vector, low attack complexity, no privileges or user interaction required, and high impact on confidentiality and integrity. No known exploits are currently reported in the wild, but the vulnerability's nature makes it a high-risk target for attackers seeking session hijacking or unauthorized access. No official patches are currently linked, indicating that affected organizations must apply mitigations or updates once available.

Potential Impact

For European organizations, this vulnerability poses a significant risk to web applications or services utilizing the BLUEFEET Starch framework, especially those handling sensitive or regulated data. Predictable session IDs can lead to session hijacking, allowing attackers to impersonate legitimate users, access confidential information, manipulate data, or escalate privileges. This is particularly critical for sectors such as finance, healthcare, government, and e-commerce, where data protection and privacy regulations like GDPR impose strict requirements. Unauthorized access incidents could result in data breaches, regulatory fines, reputational damage, and operational disruptions. Since the vulnerability requires no authentication or user interaction, it can be exploited remotely over the network, increasing the attack surface. The lack of known exploits currently offers a window for proactive defense, but the critical severity demands urgent attention. Organizations relying on Starch for session management must assess exposure and prioritize remediation to prevent potential compromise.

Mitigation Recommendations

1. Immediate mitigation involves disabling or replacing the default session ID generator in Starch with a cryptographically secure random number generator (CSPRNG) that uses strong entropy sources, such as /dev/urandom or platform-specific secure RNG APIs. 2. If possible, upgrade to a patched version of Starch once released by BLUEFEET that addresses this vulnerability. 3. Implement additional session management controls such as session expiration, IP address binding, and multi-factor authentication to reduce the impact of session hijacking. 4. Monitor logs and network traffic for anomalous session activity indicative of session prediction or hijacking attempts. 5. Review HTTP headers to ensure sensitive timing information (e.g., Date header) is not unnecessarily exposed, reducing entropy leakage. 6. Conduct code audits and penetration testing focused on session management to identify and remediate similar weaknesses. 7. Educate developers and system administrators about secure session ID generation best practices and the risks of predictable identifiers. 8. Employ Web Application Firewalls (WAFs) with rules to detect and block suspicious session ID usage patterns.

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Technical Details

Data Version
5.1
Assigner Short Name
CPANSec
Date Reserved
2025-04-16T09:05:34.362Z
Cvss Version
null
State
PUBLISHED

Threat ID: 68ce9f86302f5874260ddf20

Added to database: 9/20/2025, 12:35:18 PM

Last enriched: 9/28/2025, 12:44:50 AM

Last updated: 11/2/2025, 5:52:16 PM

Views: 98

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