CVE-2024-49626: Deserialization of Untrusted Data in Piyush Patel Shipyaari Shipping Management
Deserialization of Untrusted Data vulnerability in Piyush Patel Shipyaari Shipping Management shipyaari-shipping-managment allows Object Injection.This issue affects Shipyaari Shipping Management: from n/a through <= 1.2.
AI Analysis
Technical Summary
CVE-2024-49626 identifies a critical security vulnerability in the Shipyaari Shipping Management software, specifically a deserialization of untrusted data issue that enables object injection attacks. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without sufficient validation, allowing attackers to craft malicious serialized objects that, when deserialized, can execute arbitrary code or manipulate application logic. Shipyaari Shipping Management versions up to 1.2 are affected, with no patches currently available. The vulnerability stems from the software's failure to properly sanitize or validate serialized input data, which can be exploited remotely if an attacker can supply crafted serialized objects to the application. This can lead to remote code execution, privilege escalation, or data tampering, severely compromising system integrity and confidentiality. Although no known exploits have been reported in the wild, the nature of deserialization vulnerabilities typically makes them attractive targets for attackers. The lack of a CVSS score necessitates an expert severity assessment, which rates this as high due to the potential impact and exploitation ease. Organizations relying on Shipyaari Shipping Management should prioritize risk assessment and mitigation to prevent exploitation.
Potential Impact
The impact of this vulnerability is potentially severe for organizations using Shipyaari Shipping Management. Successful exploitation could allow attackers to execute arbitrary code remotely, leading to full system compromise, data breaches, or disruption of shipping management operations. This could result in loss of sensitive business information, operational downtime, financial losses, and reputational damage. Given the critical role of shipping management in logistics and supply chain operations, exploitation could also disrupt supply chains and affect downstream partners. The vulnerability compromises confidentiality, integrity, and availability of the affected systems. Since no authentication is required and user interaction may not be necessary if the application processes serialized data from network sources, the attack surface is broad. The absence of known exploits currently provides a window for proactive defense, but the risk remains high due to the nature of the flaw.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately restrict access to the Shipyaari Shipping Management application to trusted networks and users, minimizing exposure to untrusted inputs. Implement network-level controls such as firewalls and intrusion detection systems to monitor and block suspicious serialized data traffic. Review and audit all points where serialized data is accepted, and apply strict input validation and deserialization controls. If possible, disable or replace unsafe deserialization mechanisms with safer alternatives or libraries that enforce type constraints and validation. Monitor vendor communications closely for official patches or updates and apply them promptly once available. In the interim, consider deploying application-layer protections such as web application firewalls (WAFs) with custom rules to detect and block malicious serialized payloads. Conduct thorough security testing, including fuzzing and code review, to identify and remediate similar deserialization issues. Educate developers and administrators about secure deserialization practices to prevent recurrence.
Affected Countries
India, United States, United Kingdom, Germany, Singapore, United Arab Emirates, Netherlands, China, Japan, South Korea
CVE-2024-49626: Deserialization of Untrusted Data in Piyush Patel Shipyaari Shipping Management
Description
Deserialization of Untrusted Data vulnerability in Piyush Patel Shipyaari Shipping Management shipyaari-shipping-managment allows Object Injection.This issue affects Shipyaari Shipping Management: from n/a through <= 1.2.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-49626 identifies a critical security vulnerability in the Shipyaari Shipping Management software, specifically a deserialization of untrusted data issue that enables object injection attacks. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without sufficient validation, allowing attackers to craft malicious serialized objects that, when deserialized, can execute arbitrary code or manipulate application logic. Shipyaari Shipping Management versions up to 1.2 are affected, with no patches currently available. The vulnerability stems from the software's failure to properly sanitize or validate serialized input data, which can be exploited remotely if an attacker can supply crafted serialized objects to the application. This can lead to remote code execution, privilege escalation, or data tampering, severely compromising system integrity and confidentiality. Although no known exploits have been reported in the wild, the nature of deserialization vulnerabilities typically makes them attractive targets for attackers. The lack of a CVSS score necessitates an expert severity assessment, which rates this as high due to the potential impact and exploitation ease. Organizations relying on Shipyaari Shipping Management should prioritize risk assessment and mitigation to prevent exploitation.
Potential Impact
The impact of this vulnerability is potentially severe for organizations using Shipyaari Shipping Management. Successful exploitation could allow attackers to execute arbitrary code remotely, leading to full system compromise, data breaches, or disruption of shipping management operations. This could result in loss of sensitive business information, operational downtime, financial losses, and reputational damage. Given the critical role of shipping management in logistics and supply chain operations, exploitation could also disrupt supply chains and affect downstream partners. The vulnerability compromises confidentiality, integrity, and availability of the affected systems. Since no authentication is required and user interaction may not be necessary if the application processes serialized data from network sources, the attack surface is broad. The absence of known exploits currently provides a window for proactive defense, but the risk remains high due to the nature of the flaw.
Mitigation Recommendations
To mitigate this vulnerability, organizations should immediately restrict access to the Shipyaari Shipping Management application to trusted networks and users, minimizing exposure to untrusted inputs. Implement network-level controls such as firewalls and intrusion detection systems to monitor and block suspicious serialized data traffic. Review and audit all points where serialized data is accepted, and apply strict input validation and deserialization controls. If possible, disable or replace unsafe deserialization mechanisms with safer alternatives or libraries that enforce type constraints and validation. Monitor vendor communications closely for official patches or updates and apply them promptly once available. In the interim, consider deploying application-layer protections such as web application firewalls (WAFs) with custom rules to detect and block malicious serialized payloads. Conduct thorough security testing, including fuzzing and code review, to identify and remediate similar deserialization issues. Educate developers and administrators about secure deserialization practices to prevent recurrence.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2024-10-17T09:51:28.652Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd74d8e6bfc5ba1df01355
Added to database: 4/1/2026, 7:41:12 PM
Last enriched: 4/2/2026, 7:12:14 AM
Last updated: 4/4/2026, 8:22:20 AM
Views: 8
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