Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/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-2026-7191 is a high-severity Code Injection (CWE-94) vulnerability in Amazon (inferred from references). Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 46% of CVEs by exploit likelihood; 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.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-7191 is a code injection vulnerability stemming from improper use of the static-eval npm package in the open source qnabot-on-aws solution, affecting versions 7.2.4 and earlier. The flaw enables an authenticated administrator to execute arbitrary code within the fulfillment Lambda execution context by injecting a crafted conditional chaining expression through the Content Designer interface. This bypasses the intended expression sandbox via JavaScript prototype manipulation, as classified under CWE-94 (Improper Control of Generation of Code). The vulnerability carries a CVSS v3.1 base score of 7.2 (AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H).
An attacker requires high-privilege access as an authenticated administrator to exploit this issue over the network with low complexity and no user interaction. Successful exploitation grants arbitrary code execution in the Lambda environment, providing direct access to backend AWS resources not exposed through standard administrative interfaces, including Lambda environment variables, OpenSearch indices, S3 objects, and DynamoDB tables.
AWS security bulletin 2026-020 and the qnabot-on-aws GitHub release for version 7.3.0 recommend upgrading to version 7.3.0 or later to mitigate the vulnerability by addressing the static-eval package misuse and sandbox bypass.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-25921
Vulnerability Data
Improper use of the static-eval npm package in the open source solution qnabot-on-aws versions 7.2.4 and earlier may allow an authenticated administrator to execute arbitrary code within the fulfillment Lambda execution context by injecting a crafted conditional chaining expression via…
more
the Content Designer interface, which bypasses the intended expression sandbox through JavaScript prototype manipulation. This may grant direct access to backend resources (Lambda environment variables, OpenSearch indices, S3 objects, DynamoDB tables) that are not exposed through normal administrative interfaces. We recommend you upgrade to version 7.3.0 or above.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V1.3.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation finds code paths that accept and execute externally influenced strings.
Input validation directly stops untrusted data from being used to construct executable code without neutralization.
Least privilege limits the damage an injected code fragment can perform once executed.
Requiring documented secure development standards and tools enforces use of safe code-generation APIs and escaping.
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's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
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.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.