CVE-2025-60039: Deserialization of Untrusted Data in rascals Noisa
Deserialization of Untrusted Data vulnerability in rascals Noisa noisa allows Object Injection.This issue affects Noisa: from n/a through <= 2.6.0.
AI Analysis
Technical Summary
CVE-2025-60039 is a vulnerability classified as deserialization of untrusted data in the rascals Noisa software product, affecting all versions up to and including 2.6.0. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without proper validation or sanitization, allowing attackers to manipulate serialized objects to inject malicious payloads. In this case, the vulnerability enables object injection, which can lead to remote code execution, privilege escalation, or other unauthorized actions depending on the application's context and the deserialized object's capabilities. The vulnerability was reserved on September 25, 2025, and published on October 22, 2025, but no CVSS score or patches have been provided yet. No known exploits are currently in the wild, but the nature of deserialization vulnerabilities typically makes them attractive targets for attackers due to their potential impact and relative ease of exploitation. The lack of patches means organizations must rely on interim mitigations such as disabling or restricting deserialization functionality, applying strict input validation, or isolating vulnerable components. The affected product, Noisa by rascals, is used in various environments, and the vulnerability could be exploited remotely if the deserialization process handles attacker-controlled data. This vulnerability highlights the critical need for secure coding practices around serialization and deserialization processes.
Potential Impact
For European organizations, the impact of CVE-2025-60039 can be significant. If exploited, attackers could execute arbitrary code, leading to full system compromise, data theft, or disruption of services. This is particularly concerning for industries such as finance, healthcare, and critical infrastructure that may use Noisa for operational or security functions. The vulnerability could undermine confidentiality, integrity, and availability of affected systems. Given that no authentication is required and user interaction is not necessary if the vulnerable deserialization endpoint is exposed, the attack surface is broad. Organizations relying on Noisa in multi-tenant or cloud environments may face risks of lateral movement or cross-tenant attacks. The absence of patches increases the window of exposure, necessitating urgent mitigation efforts. Additionally, regulatory compliance frameworks in Europe, such as GDPR, may impose penalties if data breaches occur due to exploitation of this vulnerability.
Mitigation Recommendations
1. Immediately inventory all instances of rascals Noisa in the environment to identify affected versions (<= 2.6.0). 2. Until official patches are released, disable or restrict any functionality that involves deserialization of untrusted data. 3. Implement strict input validation and sanitization on all data inputs that may be deserialized. 4. Employ application-layer firewalls or intrusion detection systems to monitor and block suspicious serialized payloads. 5. Isolate vulnerable components in segmented network zones to limit potential lateral movement. 6. Monitor logs for unusual deserialization activity or errors indicative of exploitation attempts. 7. Engage with the vendor for timely patch releases and apply updates as soon as they become available. 8. Conduct security awareness training for developers to avoid unsafe deserialization practices in future development. 9. Consider deploying runtime application self-protection (RASP) tools that can detect and block malicious deserialization at runtime. 10. Review and update incident response plans to include scenarios involving deserialization attacks.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-60039: Deserialization of Untrusted Data in rascals Noisa
Description
Deserialization of Untrusted Data vulnerability in rascals Noisa noisa allows Object Injection.This issue affects Noisa: from n/a through <= 2.6.0.
AI-Powered Analysis
Technical Analysis
CVE-2025-60039 is a vulnerability classified as deserialization of untrusted data in the rascals Noisa software product, affecting all versions up to and including 2.6.0. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without proper validation or sanitization, allowing attackers to manipulate serialized objects to inject malicious payloads. In this case, the vulnerability enables object injection, which can lead to remote code execution, privilege escalation, or other unauthorized actions depending on the application's context and the deserialized object's capabilities. The vulnerability was reserved on September 25, 2025, and published on October 22, 2025, but no CVSS score or patches have been provided yet. No known exploits are currently in the wild, but the nature of deserialization vulnerabilities typically makes them attractive targets for attackers due to their potential impact and relative ease of exploitation. The lack of patches means organizations must rely on interim mitigations such as disabling or restricting deserialization functionality, applying strict input validation, or isolating vulnerable components. The affected product, Noisa by rascals, is used in various environments, and the vulnerability could be exploited remotely if the deserialization process handles attacker-controlled data. This vulnerability highlights the critical need for secure coding practices around serialization and deserialization processes.
Potential Impact
For European organizations, the impact of CVE-2025-60039 can be significant. If exploited, attackers could execute arbitrary code, leading to full system compromise, data theft, or disruption of services. This is particularly concerning for industries such as finance, healthcare, and critical infrastructure that may use Noisa for operational or security functions. The vulnerability could undermine confidentiality, integrity, and availability of affected systems. Given that no authentication is required and user interaction is not necessary if the vulnerable deserialization endpoint is exposed, the attack surface is broad. Organizations relying on Noisa in multi-tenant or cloud environments may face risks of lateral movement or cross-tenant attacks. The absence of patches increases the window of exposure, necessitating urgent mitigation efforts. Additionally, regulatory compliance frameworks in Europe, such as GDPR, may impose penalties if data breaches occur due to exploitation of this vulnerability.
Mitigation Recommendations
1. Immediately inventory all instances of rascals Noisa in the environment to identify affected versions (<= 2.6.0). 2. Until official patches are released, disable or restrict any functionality that involves deserialization of untrusted data. 3. Implement strict input validation and sanitization on all data inputs that may be deserialized. 4. Employ application-layer firewalls or intrusion detection systems to monitor and block suspicious serialized payloads. 5. Isolate vulnerable components in segmented network zones to limit potential lateral movement. 6. Monitor logs for unusual deserialization activity or errors indicative of exploitation attempts. 7. Engage with the vendor for timely patch releases and apply updates as soon as they become available. 8. Conduct security awareness training for developers to avoid unsafe deserialization practices in future development. 9. Consider deploying runtime application self-protection (RASP) tools that can detect and block malicious deserialization at runtime. 10. Review and update incident response plans to include scenarios involving deserialization attacks.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-09-25T15:19:17.076Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 68f8eff504677bbd79439a69
Added to database: 10/22/2025, 2:53:41 PM
Last enriched: 10/22/2025, 3:29:28 PM
Last updated: 10/29/2025, 6:55:57 AM
Views: 8
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