CVE-2018-25279 is classified as a medium-severity vulnerability affecting jiNa OCR Image to Text 1.0. This vulnerability allows local attackers to crash the application by processing a malformed PNG file. When attackers create a specially crafted PNG file with an oversized buffer, the application may crash during its attempt to convert the file to PDF. With a CVSS score of 6.9, this vulnerability poses a notable risk to organizations using this software.
The denial of service can disrupt normal operations and impact availability. As such, organizations should prioritize addressing this vulnerability to ensure continued functionality of their systems. Given that the vulnerability is known and documented, it is crucial for defenders to take immediate action to apply available patches or implement mitigative measures.
Currently, there are no known public exploits for CVE-2018-25279, according to the CVE Intelligence data. However, the potential for local exploitation exists, and organizations should remain vigilant against the possibility of future exploitation attempts. The urgency for remediation is classified as medium, and organizations should incorporate this into their patch management cycle.
In summary, CVE-2018-25279 represents a significant risk that needs to be addressed promptly. Organizations using jiNa OCR Image to Text 1.0 should evaluate their exposure to this vulnerability and take appropriate measures.
Vulnerability Details
The official description of this vulnerability states that jiNa OCR Image to Text 1.0 contains a denial of service vulnerability that allows local attackers to crash the application by processing a malformed PNG file. Attackers can create a specially crafted PNG file with an oversized buffer and trigger the crash when the application attempts to convert the file to PDF.
This vulnerability is classified under CWE-789, which refers to 'Access of Memory Location Before Start of Buffer'. The CVSS score for this vulnerability is 6.9, indicating a medium severity level with significant availability impact.
Technical Analysis
The root cause of this vulnerability lies in the processing of PNG files within the jiNa OCR Image to Text application. The application fails to properly handle oversized buffers when attempting to convert PNG files to PDF format. This results in an application crash, which can be exploited by local attackers.
The attack vector for this vulnerability is local, meaning that an attacker must have access to the system where the application is running. The attack complexity is classified as low, as it requires no special privileges or user interaction to trigger the denial of service.
The impact on availability is high, as the application will become unresponsive if the exploit is successful. There is no confidentiality or integrity impact associated with this vulnerability.
Risk & Impact Analysis
Risk to organizations includes the potential disruption of services due to application crashes caused by exploitation of this vulnerability. The blast radius is limited to the local system where jiNa OCR Image to Text is installed, but the impact could be significant if the application is critical to operations.
Organizations should prioritize patching immediately to mitigate this vulnerability. While there are currently no known public exploits, the availability of this vulnerability in the wild means it could be leveraged by attackers at any time. Regular updates to the application and monitoring for signs of exploitation should be part of the security posture of any organization using this software.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions prior to vendor patch are affected by this vulnerability. Organizations using jiNa OCR Image to Text 1.0 should immediately look for patches or updates provided by the vendor to remediate this issue.
Mitigation & Remediation
To mitigate CVE-2018-25279, organizations should consider applying the latest patches provided by the vendor. If a patch is unavailable, disable the processing of PNG files or implement file validation checks to prevent malformed files from being processed.
Additionally, organizations can strengthen their security posture by incorporating penetration testing to assess the security of their applications regularly.
Detection Guidance
Organizations should monitor application logs for unusual behavior that may indicate an attempt to exploit this vulnerability. Additionally, monitoring the system's stability and performance metrics can help identify unexpected crashes or performance degradation.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2018-25279 is notable, as it highlights the risks associated with local vulnerabilities in commonly used applications. Security teams should learn from such vulnerabilities to better secure their applications against similar threats in the future.
Organizations should implement a comprehensive vulnerability management program to proactively identify and remediate vulnerabilities before they can be exploited.
In conclusion, CVE-2018-25279 serves as a reminder of the importance of maintaining software updates and conducting regular security assessments to minimize risks associated with vulnerabilities.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
.webp)