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CVE-2025-0633: Medium Vulnerability in iniparser

A heap-based buffer overflow vulnerability in iniparser's iniparser_dumpsection_ini() function allows attackers to read out of bound memory. Although classified as medium severity, organizations should address this vulnerability promptly to mitigate potential risks.

MEDIUMCVSS 5.1 · Published February 19, 2025

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CVE-2025-0633 describes a heap-based buffer overflow vulnerability within the iniparser library, specifically in the iniparser_dumpsection_ini() function. This flaw allows an attacker to read out of bound memory, potentially leading to unauthorized access to sensitive information. The vulnerability has been assigned a CVSS score of 5.1, indicating a medium severity level. Despite this classification, organizations should not underestimate the risk associated with this vulnerability.

The vulnerability was published on February 19, 2025, and is currently in a deferred status. While there are no known exploits associated with this vulnerability at this time, its nature may allow attackers to leverage it under specific conditions. Organizations should remain vigilant and prioritize addressing this issue in their security patch management cycles.

Risk to organizations includes potential unauthorized access to sensitive information, which can lead to data breaches or further exploitations. As such, organizations should prioritize patching immediately to prevent any possible exploitation of this vulnerability.

While current exploit activity is not documented, the absence of known exploits should not be interpreted as a lack of risk. Organizations are encouraged to implement appropriate mitigations as part of their ongoing security practices.

Vulnerability Details

The vulnerability within iniparser is characterized as a heap-based buffer overflow, located in the iniparser_dumpsection_ini() function. The vulnerability allows attackers to read out of bound memory, which could facilitate unauthorized access to critical data.

The CVSS score assigned to this vulnerability is 5.1, which categorizes it as medium severity. This score reflects the potential impact and exploitability of the vulnerability. The vulnerability is classified under CWE-122, indicating issues related to heap-based buffer overflows.

Organizations utilizing the iniparser library should assess their exposure to this vulnerability and take necessary precautions. The vulnerability was publicly disclosed on February 19, 2025, and has been reported by the source identifier PSIRT@samsung.com.

Technical Analysis

The root cause of this vulnerability lies in the improper handling of memory within the iniparser_dumpsection_ini() function. This oversight enables a heap-based buffer overflow condition, which can be exploited under specific circumstances. The attack vector is local, requiring access to the system where iniparser is utilized.

Attack complexity is classified as low, implying that an attacker may successfully exploit this vulnerability without significant effort. No privileges are required to exploit this vulnerability, and user interaction is not necessary. The impacts on confidentiality, integrity, and availability are assessed as low, none, and none, respectively.

Risk & Impact Analysis

The real-world risk posed by CVE-2025-0633 is significant, especially in environments where iniparser is utilized for configuration management or other critical processes. The potential for unauthorized memory access can compromise sensitive information, leading to severe data breaches. The vulnerability's classification as medium severity highlights the need for timely remediation.

Organizations should assess their exposure based on the deployment of the iniparser library and implement necessary mitigations. The absence of known exploits does not mitigate the inherent risks associated with this vulnerability, and organizations are encouraged to prioritize their security practices accordingly.

Signal

Status

Known Exploit

No

Public PoC

No

Actively Exploited

No

Ransomware Use

No

Affected Versions

Specific version information for the affected products is currently unavailable. Organizations should consider all versions prior to vendor patch as potentially vulnerable until further guidance is provided.

Mitigation & Remediation

Organizations are advised to monitor for updates from the vendor and apply patches as soon as they become available. In the absence of a patch, consider implementing workarounds that limit access to the iniparser library or employ additional security measures to mitigate potential risks.

Further, organizations should adopt a comprehensive security strategy that includes regular security assessments and penetration testing to identify and rectify vulnerabilities proactively. For guidance on such practices, organizations can refer to our detailed penetration testing services.

Detection Guidance

To detect potential exploitation attempts of this vulnerability, organizations should monitor system logs for unusual memory access patterns and anomalies related to the iniparser library. Additionally, behavioral signatures indicative of buffer overflow attempts should be established to enhance detection capabilities.

AppSecure Threat Intelligence Insight

The significance of CVE-2025-0633 lies not only in its immediate impact but also in the potential trends it represents within software vulnerabilities. As organizations increasingly rely on libraries like iniparser, understanding and mitigating risks associated with such components becomes crucial.

Security teams should learn from this vulnerability to strengthen their application security frameworks. Regular updates, vulnerability management programs, and proactive security measures are essential to counter potential threats.

Organizations are encouraged to review our resources on vulnerability management programs and penetration testing methodology to enhance their security posture against evolving threats.

By implementing these strategies, organizations can better prepare themselves for similar vulnerabilities in the future and foster a more secure software environment.

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

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