CVE-2026-92785: Deserialization of Untrusted Data in Angel-ML angel
Angel through 3.3.0 deserializes untrusted setAlgoMetrics payload using Kryo without class registration or allowlist validation. Unauthenticated network attackers can instantiate arbitrary classes or exhaust coordinator memory by sending crafted serialized objects to the master RPC endpoint.
AI Analysis
Technical Summary
CVE-2026-92785 affects Angel-ML angel through version 3.3.0. The vulnerability is due to insecure deserialization of untrusted setAlgoMetrics payloads using Kryo without enforcing class registration or allowlist validation. An unauthenticated attacker can exploit this by sending malicious serialized objects to the master RPC endpoint, leading to arbitrary class instantiation or denial of service via memory exhaustion. The CVSS 4.0 score is 9.2, indicating a critical severity with network attack vector, high attack complexity, and no privileges or user interaction required.
Potential Impact
Successful exploitation can allow unauthenticated remote attackers to instantiate arbitrary classes on the server or exhaust the coordinator's memory resources, potentially causing denial of service or other impacts related to arbitrary code execution. This compromises the integrity and availability of the affected system.
Mitigation Recommendations
No patch or official fix information is provided in the available data. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict network access to the master RPC endpoint and monitor for suspicious serialized payloads if possible.
CVE-2026-92785: Deserialization of Untrusted Data in Angel-ML angel
Description
Angel through 3.3.0 deserializes untrusted setAlgoMetrics payload using Kryo without class registration or allowlist validation. Unauthenticated network attackers can instantiate arbitrary classes or exhaust coordinator memory by sending crafted serialized objects to the master RPC endpoint.
CVSS v4.0
Score 9.2critical
Affected software
Angel-ML
angel
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-92785 affects Angel-ML angel through version 3.3.0. The vulnerability is due to insecure deserialization of untrusted setAlgoMetrics payloads using Kryo without enforcing class registration or allowlist validation. An unauthenticated attacker can exploit this by sending malicious serialized objects to the master RPC endpoint, leading to arbitrary class instantiation or denial of service via memory exhaustion. The CVSS 4.0 score is 9.2, indicating a critical severity with network attack vector, high attack complexity, and no privileges or user interaction required.
Potential Impact
Successful exploitation can allow unauthenticated remote attackers to instantiate arbitrary classes on the server or exhaust the coordinator's memory resources, potentially causing denial of service or other impacts related to arbitrary code execution. This compromises the integrity and availability of the affected system.
Mitigation Recommendations
No patch or official fix information is provided in the available data. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict network access to the master RPC endpoint and monitor for suspicious serialized payloads if possible.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-16T19:22:55.254Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aab006155bf5e2cf5231e06
Added to database: 09/16/2026, 20:47:29 UTC
Last enriched: 09/16/2026, 21:48:32 UTC
Last updated: 09/17/2026, 02:02:54 UTC
Views: 4
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