Cyber Resilience

CVE-2024-7246

Grpc ≤ 1.58.3

Public PoC
Published
06 August 2024
Modified
22 July 2025
Patch / advisory
CVSS Score v4 6.3
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L/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:X
EPSS Score 0.0022 13th percentile
Risk Priority 30 floored blend · peak EPSS

Summary

CVE-2024-7246 is a medium-severity Expected Behavior Violation (CWE-440) vulnerability in Grpc Grpc. Its CVSS base score is 6.3 (Medium).

Operationally, ranked at the 13th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-6 (Security and Privacy Function Verification) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

It's possible for a gRPC client communicating with a HTTP/2 proxy to poison the HPACK table between the proxy and the backend such that other clients see failed requests. It's also possible to use this vulnerability to leak other clients…

more

HTTP header keys, but not values. This occurs because the error status for a misencoded header is not cleared between header reads, resulting in subsequent (incrementally indexed) added headers in the first request being poisoned until cleared from the HPACK table. Please update to a fixed version of gRPC as soon as possible. This bug has been fixed in 1.58.3, 1.59.5, 1.60.2, 1.61.3, 1.62.3, 1.63.2, 1.64.3, 1.65.4.

CWE(s)

Related Threats

CVEs Like This One

CVE-2023-32731Same product: Grpc Grpc
CVE-2023-4785Same product: Grpc Grpc
CVE-2026-33186Same product: Grpc Grpc
CVE-2023-1428Same product: Grpc Grpc
CVE-2023-33953Same product: Grpc Grpc
CVE-2024-11407Same product: Grpc Grpc
CVE-2023-32732Same product: Grpc Grpc
CVE-2025-46712Shared CWE-440
CVE-2025-27094Shared CWE-440
CVE-2026-8806Shared CWE-440

Affected Assets

grpc
grpc
≤ 1.58.3 · 1.59.0 — 1.59.5 · 1.60.0 — 1.60.2

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation directly checks whether implemented functions match their specifications.

Security function verification confirms that functions operate according to their defined expected behavior.

Requiring a documented security architecture and design reduces the chance that implementation deviates from intended behavior.

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.

PR.PS-06 full match
prevents

Secure SDLC practices directly enforce specification compliance and catch expected-behavior violations during development.

ID.IM-02 partial match
prevents

Security testing and exercises help discover behavior deviations before deployment.

ID.RA-01 partial match
prevents

Vulnerability identification can surface spec-violating flaws, while eliminating the weakness reduces some vulnerability backlog.

PR.PS-02 partial match
prevents

Routine software maintenance and patching can remediate discovered specification violations.

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.

finds

Security testing in development and acceptance validates that functions behave as specified.

prevents

Secure development life cycle mandates verification against specifications, directly reducing expected-behavior violations.

prevents

Application security requirements explicitly define expected behavior that must be met.

prevents

Secure coding practices enforce adherence to functional specifications during implementation.

finds

Change management can catch specification deviations introduced by modifications.

none

Documented operating procedures reduce the chance that functions deviate from intended behavior.

References