CVE-2025-63094: n/a
XiangShan Nanhu V2 and XiangShan Kunmighu V3 were discovered to use speculative execution and indirect branch prediction, allowing attackers to access sensitive information via side-channel analysis of the data cache.
AI Analysis
Technical Summary
CVE-2025-63094 identifies a vulnerability in the XiangShan Nanhu V2 and Kunmighu V3 processors, which implement speculative execution and indirect branch prediction to optimize performance. These CPU features, while improving speed, introduce side-channel attack vectors by allowing attackers to infer sensitive data through timing analysis of the CPU data cache. Specifically, the vulnerability enables unauthorized disclosure of information by exploiting the microarchitectural behavior of speculative execution paths and indirect branch predictors. The attack does not require any privileges or user interaction, making it remotely exploitable over a network if the attacker can run code on the target system. The vulnerability is categorized under CWE-200 (Information Exposure) and CWE-203 (Information Exposure Through Discrepancy), highlighting its nature as a confidentiality breach. The CVSS v3.1 base score is 7.5, reflecting a high impact on confidentiality with no impact on integrity or availability. No patches or mitigations have been officially released at the time of publication, and no active exploits have been reported. The vulnerability is similar in nature to previous speculative execution side-channel attacks like Spectre and Meltdown but specific to the XiangShan architecture. Mitigation typically involves microcode updates, firmware patches, or disabling vulnerable CPU features, which may degrade performance. Additional defenses include software-level mitigations such as cache partitioning, constant-time algorithms, and enhanced monitoring for anomalous cache usage patterns.
Potential Impact
For European organizations, the primary impact of CVE-2025-63094 is the potential unauthorized disclosure of sensitive information, which can include cryptographic keys, personal data, or proprietary information processed by affected CPUs. This confidentiality breach could lead to data leaks, intellectual property theft, or compromise of secure communications. Critical infrastructure sectors such as finance, telecommunications, government, and defense that rely on XiangShan Nanhu V2 or Kunmighu V3 processors in their servers or embedded systems are particularly at risk. Since the vulnerability does not affect integrity or availability, operational disruption is unlikely; however, the loss of confidentiality can have severe regulatory and reputational consequences under GDPR and other European data protection laws. The lack of required privileges or user interaction lowers the barrier for exploitation, increasing the threat level. The absence of patches means organizations must rely on interim mitigations, which may impact system performance or require architectural changes. Overall, this vulnerability poses a significant risk to data confidentiality in European environments using the affected hardware.
Mitigation Recommendations
1. Engage with the hardware vendor to obtain and apply microcode or firmware updates as soon as they become available to address the speculative execution flaw. 2. Where possible, disable or limit speculative execution and indirect branch prediction features in BIOS/UEFI settings, understanding this may reduce system performance. 3. Implement software-level mitigations such as cache partitioning or flushing to reduce side-channel leakage, especially in multi-tenant or virtualized environments. 4. Employ constant-time cryptographic algorithms and avoid secret-dependent control flows to minimize exploitable timing discrepancies. 5. Monitor systems for unusual cache access patterns or side-channel attack indicators using advanced threat detection tools. 6. Isolate sensitive workloads on dedicated hardware or use hardware with unaffected architectures until patches are available. 7. Review and enhance network segmentation and access controls to limit attacker ability to run code on vulnerable systems. 8. Conduct regular security assessments and penetration tests focusing on side-channel attack vectors. 9. Educate security teams about speculative execution vulnerabilities and update incident response plans accordingly. 10. Coordinate with European cybersecurity agencies for threat intelligence sharing and mitigation guidance.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Belgium, Sweden, Finland
CVE-2025-63094: n/a
Description
XiangShan Nanhu V2 and XiangShan Kunmighu V3 were discovered to use speculative execution and indirect branch prediction, allowing attackers to access sensitive information via side-channel analysis of the data cache.
AI-Powered Analysis
Technical Analysis
CVE-2025-63094 identifies a vulnerability in the XiangShan Nanhu V2 and Kunmighu V3 processors, which implement speculative execution and indirect branch prediction to optimize performance. These CPU features, while improving speed, introduce side-channel attack vectors by allowing attackers to infer sensitive data through timing analysis of the CPU data cache. Specifically, the vulnerability enables unauthorized disclosure of information by exploiting the microarchitectural behavior of speculative execution paths and indirect branch predictors. The attack does not require any privileges or user interaction, making it remotely exploitable over a network if the attacker can run code on the target system. The vulnerability is categorized under CWE-200 (Information Exposure) and CWE-203 (Information Exposure Through Discrepancy), highlighting its nature as a confidentiality breach. The CVSS v3.1 base score is 7.5, reflecting a high impact on confidentiality with no impact on integrity or availability. No patches or mitigations have been officially released at the time of publication, and no active exploits have been reported. The vulnerability is similar in nature to previous speculative execution side-channel attacks like Spectre and Meltdown but specific to the XiangShan architecture. Mitigation typically involves microcode updates, firmware patches, or disabling vulnerable CPU features, which may degrade performance. Additional defenses include software-level mitigations such as cache partitioning, constant-time algorithms, and enhanced monitoring for anomalous cache usage patterns.
Potential Impact
For European organizations, the primary impact of CVE-2025-63094 is the potential unauthorized disclosure of sensitive information, which can include cryptographic keys, personal data, or proprietary information processed by affected CPUs. This confidentiality breach could lead to data leaks, intellectual property theft, or compromise of secure communications. Critical infrastructure sectors such as finance, telecommunications, government, and defense that rely on XiangShan Nanhu V2 or Kunmighu V3 processors in their servers or embedded systems are particularly at risk. Since the vulnerability does not affect integrity or availability, operational disruption is unlikely; however, the loss of confidentiality can have severe regulatory and reputational consequences under GDPR and other European data protection laws. The lack of required privileges or user interaction lowers the barrier for exploitation, increasing the threat level. The absence of patches means organizations must rely on interim mitigations, which may impact system performance or require architectural changes. Overall, this vulnerability poses a significant risk to data confidentiality in European environments using the affected hardware.
Mitigation Recommendations
1. Engage with the hardware vendor to obtain and apply microcode or firmware updates as soon as they become available to address the speculative execution flaw. 2. Where possible, disable or limit speculative execution and indirect branch prediction features in BIOS/UEFI settings, understanding this may reduce system performance. 3. Implement software-level mitigations such as cache partitioning or flushing to reduce side-channel leakage, especially in multi-tenant or virtualized environments. 4. Employ constant-time cryptographic algorithms and avoid secret-dependent control flows to minimize exploitable timing discrepancies. 5. Monitor systems for unusual cache access patterns or side-channel attack indicators using advanced threat detection tools. 6. Isolate sensitive workloads on dedicated hardware or use hardware with unaffected architectures until patches are available. 7. Review and enhance network segmentation and access controls to limit attacker ability to run code on vulnerable systems. 8. Conduct regular security assessments and penetration tests focusing on side-channel attack vectors. 9. Educate security teams about speculative execution vulnerabilities and update incident response plans accordingly. 10. Coordinate with European cybersecurity agencies for threat intelligence sharing and mitigation guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- mitre
- Date Reserved
- 2025-10-27T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6939b0fa62aa6c8a0e4897a1
Added to database: 12/10/2025, 5:42:18 PM
Last enriched: 12/19/2025, 4:21:34 AM
Last updated: 2/7/2026, 11:01:22 AM
Views: 80
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