Cyber Resilience

CVE-2026-63637

Published
06 August 2026
Modified
07 August 2026
CVSS Score v3.1 8.6
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L
EPSS Score 0.0024 15th percentile
Risk Priority 63 floored blend · peak EPSS

Summary

CVE-2026-63637 is a high-severity Improper Neutralization of Special Elements in Data Query Logic (CWE-943) vulnerability. Its CVSS base score is 8.6 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 15th 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 SI-10 (Information Input Validation) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

Dgraph is an open source distributed GraphQL database. Prior to 25.3.8, maybeQuoteArg in graphql/resolve/query_rewriter.go passes regexp filter strings into generated DQL without quoting or validating the /pattern/flags form, allowing crafted GraphQL query or mutation filters to inject DQL operators, disclose…

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unintended nodes, or expand modification and deletion targets. This issue is fixed in version 25.3.8.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-30941Shared CWE-943
CVE-2026-10698Shared CWE-943
CVE-2024-35136Shared CWE-943
CVE-2025-36366Shared CWE-943
CVE-2026-53674Shared CWE-943
CVE-2025-33114Shared CWE-943
CVE-2024-4872Shared CWE-943
CVE-2025-60357Shared CWE-943
CVE-2026-32248Shared CWE-943
CVE-2026-29793Shared CWE-943

Affected Assets

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly stops unneutralized special elements from reaching query logic.

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 parameterized queries and input neutralization to prevent query-logic injection.

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 catches injection vulnerabilities before release but does not itself implement the fix.

prevents

Secure development life cycle mandates input validation and query parameterization that directly prevent injection flaws.

prevents

Application security requirements explicitly call for controls against injection and improper query construction.

prevents

Secure architecture principles reduce the likelihood of query-logic flaws but do not prescribe the specific coding practice.

prevents

Secure coding standards require proper neutralization of special elements in all data queries.

prevents

Outsourced development agreements can require secure coding practices, indirectly mitigating the weakness.

References