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CVE Vulnerability Database
Vulnerability Database/CVE-2024-58041

CVE-2024-58041: Smolder Insecure Random Vulnerability

CVE-2024-58041 is an information disclosure vulnerability in Smolder versions through 1.51 for Perl caused by using insecure rand() for cryptographic functions. This article covers technical details, affected versions, and mitigations.

Published: February 27, 2026

CVE-2024-58041 Overview

Smolder versions through 1.51 for Perl contain an Insecure Random Number Generation vulnerability. The application uses the cryptographically weak rand() function for security-sensitive operations instead of a secure random number generator.

Specifically, the Smolder::DB::Developer module relies on the Data::Random library, which explicitly states that it is "Useful mostly for test programs" and is not intended for cryptographic or security purposes. The Data::Random library uses Perl's rand() function, which generates predictable pseudo-random numbers that can be exploited by attackers.

Critical Impact

Attackers can potentially predict or reproduce random values used for security-sensitive operations such as token generation, password resets, or session identifiers, leading to authentication bypass or account compromise.

Affected Products

  • Smolder versions through 1.51 for Perl
  • Applications using Smolder::DB::Developer module
  • Systems relying on Data::Random library for security-sensitive random data generation

Discovery Timeline

  • 2026-02-24 - CVE-2024-58041 published to NVD
  • 2026-02-24 - Last updated in NVD database

Technical Details for CVE-2024-58041

Vulnerability Analysis

This vulnerability falls under CWE-338 (Use of Cryptographically Weak Pseudo-Random Number Generator). The Smolder::DB::Developer module imports and uses the Data::Random library for generating random data. However, Data::Random is designed for testing purposes and explicitly warns that it should not be used for security-sensitive applications.

The underlying issue is that Perl's built-in rand() function produces pseudo-random numbers using a deterministic algorithm. Given knowledge of the seed value or sufficient output samples, an attacker can predict future random values or reconstruct past values. This predictability creates severe security implications when used for cryptographic operations such as token generation, session identifiers, or password reset mechanisms.

Root Cause

The root cause of this vulnerability is the inappropriate use of the Data::Random library within Smolder::DB::Developer. The library's documentation clearly indicates it is intended for test programs, not production security use. At its core, Data::Random delegates to Perl's rand() function, which uses a linear congruential generator (LCG) or similar algorithm that is fast but cryptographically predictable.

According to the Perl documentation for rand, this function is not suitable for cryptographic purposes. The MetaCPAN Security Guide on Random Data provides guidance on proper alternatives for security-sensitive random number generation.

Attack Vector

The vulnerability is exploitable over the network without authentication. An attacker could potentially:

  1. Token Prediction: If security tokens (such as password reset tokens, session tokens, or API keys) are generated using the weak random source, attackers can predict these values by analyzing the pattern of generated random numbers.

  2. State Recovery: With enough samples of random output, attackers can reverse-engineer the internal state of the rand() function and predict future outputs.

  3. Authentication Bypass: If authentication mechanisms rely on unpredictable random values, attackers who can predict these values may bypass security controls entirely.

The Smolder::DB::Developer module's use of Data::Random can be observed in the source code available at MetaCPAN. The Data::Random library's implementation shows the use of rand() at line 537 of Data/Random.pm.

Detection Methods for CVE-2024-58041

Indicators of Compromise

  • Unusual patterns in account access or password reset requests
  • Multiple successful authentication attempts using generated tokens within a short timeframe
  • Evidence of brute-force attempts targeting token endpoints with high success rates
  • Log entries showing predictable or sequential patterns in generated random values

Detection Strategies

  • Audit Perl codebases for usage of Data::Random library in security-sensitive contexts
  • Review Smolder::DB::Developer module usage and identify where random values are generated
  • Implement monitoring for abnormal authentication patterns that may indicate token prediction attacks
  • Use static analysis tools to identify calls to rand() or Data::Random functions in security-critical code paths

Monitoring Recommendations

  • Monitor authentication logs for patterns indicating successful prediction of security tokens
  • Set up alerts for unusual spikes in password reset or token generation requests
  • Track failed and successful authentication attempts to identify statistical anomalies
  • Implement rate limiting on endpoints that consume randomly generated tokens

How to Mitigate CVE-2024-58041

Immediate Actions Required

  • Upgrade Smolder to a patched version if available from the vendor
  • Replace usage of Data::Random with cryptographically secure alternatives such as Crypt::URandom or Bytes::Random::Secure
  • Invalidate any existing tokens or secrets that may have been generated using the weak random source
  • Conduct a security audit to identify all locations where rand() or Data::Random are used for security purposes

Patch Information

No official patch has been identified for this vulnerability at the time of publication. Organizations using Smolder should contact the maintainers or consider implementing the workarounds described below. Review the MetaCPAN Security Guide on Random Data for guidance on secure random number generation in Perl.

Workarounds

  • Replace Data::Random with Crypt::URandom for cryptographically secure random bytes
  • Use Bytes::Random::Secure module as a drop-in replacement for secure random data generation
  • Implement custom wrapper functions that enforce use of /dev/urandom or system CSPRNG
  • Consider migrating security-sensitive functionality to a framework with proper cryptographic primitives
bash
# Install secure random alternatives via CPAN
cpan install Crypt::URandom
cpan install Bytes::Random::Secure

# Verify installation
perl -MCrypt::URandom -e 'print "Crypt::URandom installed successfully\n"'
perl -MBytes::Random::Secure -e 'print "Bytes::Random::Secure installed successfully\n"'

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechSmolder

  • SeverityCRITICAL

  • CVSS Score9.1

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-338
  • Technical References
  • MetaCPAN Data-Random Source

  • MetaCPAN Smolder Developer Source

  • MetaCPAN Smolder Developer Source

  • Perl Documentation for rand

  • MetaCPAN Security Guide on Random Data
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