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CVE-2024-57854: CWE-338 Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG) in DOUGDUDE Net::NSCA::Client

0
High
VulnerabilityCVE-2024-57854cvecve-2024-57854cwe-338
Published: Thu Mar 05 2026 (03/05/2026, 02:18:25 UTC)
Source: CVE Database V5
Vendor/Project: DOUGDUDE
Product: Net::NSCA::Client

Description

CVE-2024-57854 identifies a cryptographic weakness in the DOUGDUDE Net::NSCA::Client Perl module, specifically due to the use of a weak pseudo-random number generator (PRNG). Versions up to 0. 009002 rely on Perl's built-in rand() function via Data::Rand::Obscure for generating initialization vectors, which is unsuitable for cryptographic purposes. This vulnerability falls under CWE-338, indicating the use of a cryptographically weak PRNG. Although no known exploits are currently reported in the wild, the weakness could allow attackers to predict or reproduce random values, potentially compromising the confidentiality and integrity of communications relying on these vectors. The affected product is a Perl client module used for NSCA (Nagios Service Check Acceptor) communications, which may be deployed in monitoring infrastructures. Mitigation requires replacing the weak PRNG with a cryptographically secure alternative and updating to a patched version once available. Countries with significant use of Perl-based monitoring tools and critical infrastructure relying on NSCA are at higher risk. Given the nature of the vulnerability, ease of exploitation, and scope, the severity is assessed as high. Defenders should prioritize remediation to prevent potential cryptographic attacks that could undermine system monitoring security.

AI-Powered Analysis

AILast updated: 03/05/2026, 03:33:19 UTC

Technical Analysis

CVE-2024-57854 concerns a cryptographic vulnerability in the DOUGDUDE Net::NSCA::Client Perl module, versions through 0.009002. The module switched in version 0.003 to using Data::Rand::Obscure instead of Crypt::Random for generating random initialization vectors (IVs). However, Data::Rand::Obscure internally uses Perl's built-in rand() function, which is not designed for cryptographic security and is considered a weak pseudo-random number generator (PRNG). This weakness is classified under CWE-338, indicating the use of a cryptographically weak PRNG. Initialization vectors are critical in cryptographic protocols to ensure randomness and prevent replay or prediction attacks. Using a weak PRNG for IV generation can allow attackers to predict IV values, potentially enabling cryptanalysis or replay attacks against encrypted or authenticated communications. The Net::NSCA::Client module is used in NSCA communications, commonly part of Nagios monitoring setups, which are widely deployed in IT infrastructure monitoring. Although no known exploits have been reported, the vulnerability presents a latent risk that could be exploited if attackers gain access to network traffic or the client environment. The absence of a CVSS score suggests the need for an expert severity assessment. The vulnerability affects all versions up to 0.009002, and no patches are currently linked, indicating that users must monitor for updates or implement manual mitigations. The weakness impacts confidentiality and integrity by undermining cryptographic randomness, and exploitation does not require user interaction but may require access to the client or network. The scope is limited to systems using this specific Perl module for NSCA communications.

Potential Impact

The primary impact of CVE-2024-57854 is the potential compromise of cryptographic security in systems using the vulnerable Net::NSCA::Client module. Predictable initialization vectors can lead to weakened encryption, enabling attackers to decrypt or manipulate monitoring data or commands. This could result in unauthorized disclosure of sensitive monitoring information, tampering with alerting mechanisms, or bypassing security controls that rely on NSCA communications. Organizations relying on Nagios or similar monitoring infrastructures that use this Perl client may face risks of undetected system failures or false alerts, impacting operational integrity and availability. The vulnerability could also facilitate lateral movement or privilege escalation if attackers exploit predictable cryptographic elements to inject malicious payloads or commands. While no active exploits are known, the widespread use of Perl in system administration and monitoring means the vulnerability could be leveraged in targeted attacks against critical infrastructure, especially in sectors like finance, energy, telecommunications, and government. The impact is thus significant for organizations that depend on secure monitoring and alerting systems.

Mitigation Recommendations

To mitigate CVE-2024-57854, organizations should first identify all deployments of the DOUGDUDE Net::NSCA::Client Perl module in their environments. Until an official patch is released, users should avoid using versions up to 0.009002 and consider rolling back to versions that do not use Data::Rand::Obscure or manually patch the module to replace the use of Perl's rand() with a cryptographically secure PRNG, such as those provided by Crypt::Random or Crypt::PRNG modules. Implementing additional network-level protections, such as encrypting NSCA traffic with TLS tunnels or VPNs, can reduce exposure to interception and replay attacks. Monitoring for unusual NSCA traffic patterns or alert anomalies can help detect exploitation attempts. Organizations should also engage with the module maintainers or CPAN security teams to track patch releases and apply updates promptly. Finally, educating system administrators about the risks of weak cryptographic primitives and enforcing secure coding practices in Perl modules will help prevent similar vulnerabilities.

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Technical Details

Data Version
5.2
Assigner Short Name
CPANSec
Date Reserved
2025-03-26T14:00:56.392Z
Cvss Version
null
State
PUBLISHED

Threat ID: 69a8f5fbd1a09e29cbacc58a

Added to database: 3/5/2026, 3:18:19 AM

Last enriched: 3/5/2026, 3:33:19 AM

Last updated: 3/5/2026, 4:40:11 AM

Views: 5

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