CVE-2026-94636
Raw vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-94636 is a high-severity Data Amplification (CWE-409) vulnerability in Apache Thrift (inferred from references). Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 35th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-91560
Vulnerability Data
Improper handling of highly compressed data (data amplification), Function call with incorrectly specified arguments, Improper validation of specified quantity in input vulnerability in Apache Thrift py bindings. This issue affects Apache Thrift: before 0.25.0. Users are recommended to upgrade to…
more
version 0.25.0, which fixes the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.7.2V1.4.2V2.2.1V2.2.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation directly finds incorrect function calls via static analysis, unit testing, and code review.
Requiring documented development processes, standards, and tools (e.g., compilers, linters) structurally reduces the chance of incorrect argument specification.
Security engineering principles applied during development include correct API usage and interface contracts that stop malformed calls.
Resource allocation controls bound memory/CPU consumption that a data-amplification attack would otherwise exhaust.
Input validation can reject or limit decompression of data whose expansion ratio exceeds safe thresholds.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Runtime monitoring of compute resources can detect exhaustion caused by decompression bombs.
Capacity planning and monitoring directly limits the availability impact of data-amplification attacks.
Secure-development practices include input-validation and resource-limit checks that prevent improper handling of compressed data.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.