Cyber Resilience

CVE-2026-77810

RCE

Published
21 August 2026
Modified
21 August 2026
CVSS Score v4 9.4
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/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 0.0035 28th percentile
Risk Priority 40 floored blend · peak EPSS

Summary

CVE-2026-77810 is a critical-severity Eval Injection (CWE-95) vulnerability in Amazon (inferred from references). Its CVSS base score is 9.4 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 28th 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 SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

In the Neptune connector, a user with access to Neptune through Athena Federated Query could gain access to properties in the Lambda supplying the compute for the connector. To remediate this issue, users should upgrade to aws-athena-query-federation v2026.30.1 or later.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1059.007 JavaScript Execution
Adversaries may abuse various implementations of JavaScript for execution.
T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
T1059.001 PowerShell Execution
Adversaries may abuse PowerShell commands and scripts for execution.
T1059.004 Unix Shell Execution
Adversaries may abuse Unix shell commands and scripts for execution.
T1059.005 Visual Basic Execution
Adversaries may abuse Visual Basic (VB) for execution.
T1059.006 Python Execution
Adversaries may abuse Python commands and scripts for execution.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-4837Shared CWE-95
CVE-2026-45406Shared CWE-95
CVE-2024-10633Shared CWE-95
CVE-2026-4001Shared CWE-95
CVE-2023-26323Shared CWE-95
CVE-2024-32649Shared CWE-95
CVE-2024-8512Shared CWE-95
CVE-2026-31254Shared CWE-95
CVE-2025-61955Shared CWE-95
CVE-2025-71408Shared CWE-95

Affected Assets

Amazon
inferred from references and description; NVD did not file a CPE for this CVE

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.3.2

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and code analysis can discover eval-injection flaws but does not stop their introduction.

Input validation explicitly requires neutralizing untrusted data before it reaches dynamic evaluation constructs such as eval.

Secure-development standards and tools can mandate safe coding patterns that avoid unsafe dynamic evaluation.

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 mostly match
prevents

Secure SDLC practices directly require input neutralization and avoidance of unsafe dynamic evaluation.

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 can detect eval injection vulnerabilities before deployment.

prevents

Secure development life cycle mandates input validation and safe coding practices that directly prevent eval injection.

prevents

Application security requirements include rules against dynamic code execution of untrusted input.

prevents

Secure architecture principles discourage unsafe dynamic evaluation constructs.

prevents

Secure coding explicitly requires neutralization of input before dynamic evaluation, directly mitigating eval injection.

References