Cyber Resilience

CVE-2026-34220

SQLi in Mikro-Orm Mikroorm ≤ 6.6.10

Published
31 March 2026
Modified
24 July 2026
Patch / advisory
CVSS Score v4 9.3
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/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:X
EPSS Score 0.0043 36th percentile
Risk Priority 45 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-34220 is a critical-severity SQL Injection (CWE-89) vulnerability in Mikro-Orm Mikroorm. Its CVSS base score is 9.3 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 36th 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.

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-2026-34220 is a SQL injection vulnerability (CWE-89) affecting MikroORM, a TypeScript Object-Relational Mapping (ORM) library for Node.js that follows Data Mapper, Unit of Work, and Identity Map patterns. The flaw exists in versions prior to 6.6.10 and 7.0.6, where specially crafted objects can be interpreted as raw SQL query fragments, enabling arbitrary SQL execution. It has a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), indicating critical severity due to its high impact on confidentiality, integrity, and availability.

Remote, unauthenticated attackers can exploit this vulnerability over the network with low complexity and no user interaction required. By supplying malicious objects to applications using vulnerable MikroORM versions, attackers can inject and execute arbitrary SQL commands against the underlying database, potentially leading to data exfiltration, modification, or deletion, as well as full server compromise depending on database privileges and application context.

The GitHub Security Advisory (GHSA-gwhv-j974-6fxm) confirms the issue has been patched in MikroORM versions 6.6.10 and 7.0.6. Security practitioners should upgrade to these fixed versions immediately and review application code for any direct object manipulation that could pass untrusted input to MikroORM query builders.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

MikroORM is a TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Prior to versions 6.6.10 and 7.0.6, there is a SQL injection vulnerability when specially crafted objects are interpreted as raw SQL query…

more

fragments. This issue has been patched in versions 6.6.10 and 7.0.6.

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-2023-5008Shared CWE-89
CVE-2024-29390Shared CWE-89
CVE-2024-5775Shared CWE-89
CVE-2023-1608Shared CWE-89
CVE-2024-8709Shared CWE-89
CVE-2024-10738Shared CWE-89
CVE-2023-27709Shared CWE-89
CVE-2023-38890Shared CWE-89
CVE-2024-6670Shared CWE-89
CVE-2019-12989Shared CWE-89

Affected Assets

mikro-orm
mikroorm
≤ 6.6.10 · 7.0.0 — 7.0.6

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

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Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V6.2.5

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

Input validation directly stops untrusted data from reaching SQL query construction without neutralization.

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.

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 target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.

PR.AT-02 partial match
prevents

Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.

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.

prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

prevents

Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.

prevents

Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.

finds

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

References