Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:HSummary
CVE-2026-45321 is a critical-severity Embedded Malicious Code (CWE-506) vulnerability in Beproduct Beproduct\/Nestjs-Auth. Its CVSS base score is 9.6 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Embedded Payloads (T1027.009); ranked in the top 18% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SC-44 (Detonation Chambers) — 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-2026-45321 is a supply-chain compromise in which 84 malicious versions of 42 @tanstack/* packages were published to the npm registry on 2026-05-11. The packages were signed with a legitimate GitHub Actions OIDC token belonging to the TanStack/router repository, allowing the malicious code (CWE-506) to appear under a trusted publisher identity. The affected component is the TanStack npm publication workflow and its downstream consumers.
An attacker with the ability to open pull requests against the TanStack/router repository could exploit a pull_request_target misconfiguration combined with GitHub Actions cache poisoning across the fork-to-base boundary. By extracting the OIDC token from runner memory, the attacker obtained the rights to publish credential-stealing malware in two versions of each targeted package within a six-minute window, achieving arbitrary code execution on any system that installed the tainted releases.
The GitHub security advisory, TanStack postmortem, and CISA Known Exploited Vulnerabilities catalog document the incident and list the compromised package versions. The current and peak EPSS score of 0.1705 indicates sustained but not sharply increasing exploitation interest after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-29352
Vulnerability Data
On 2026-05-11, between approximately 19:20 and 19:26 UTC, 84 malicious versions across 42 @tanstack/* packages were published to the npm registry. The publishes were authenticated via the legitimate GitHub Actions OIDC trusted-publisher binding for TanStack/router, but the publish workflow itself…
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was not modified. The attacker chained three known vulnerability classes — a pull_request_target "Pwn Request" misconfiguration, GitHub Actions cache poisoning across the fork↔base trust boundary, and runtime memory extraction of the OIDC token from the Actions runner process — to publish credential-stealing malware under a trusted identity. Each affected package received exactly two malicious versions, published a few minutes apart.
- CWE(s)
- KEV Date Added
- 27 May 2026
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 3 hardening rules · 2 OS baselines
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Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover embedded malicious code before release.
Detonation chambers can reveal embedded malicious code through controlled execution analysis.
Integrity verification tools directly detect unauthorized or malicious code insertions.
Tamper-resistance and detection mechanisms identify malicious code introduced via the supply chain.
Component authenticity requirements reduce the chance malicious code is embedded by developers or suppliers.
Component authenticity controls stop introduction of malicious or counterfeit code into the product.
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.
Assessing authenticity and integrity before acquisition catches embedded malicious code.
Secure SDLC practices directly prevent introduction of malicious code during development.
Due diligence prior to supplier relationships helps avoid sources of embedded malicious code.
Supplier risk assessment reduces likelihood of receiving products containing malicious code.
Pre-acquisition assessment of critical suppliers mitigates risk of malicious code in procured software.
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.
Requiring suppliers to furnish component lists, attestations, and cryptographic verification of delivered artefacts makes it harder for an attacker to embed hidden malicious code that would otherwise go undetected through the supply chain.
Checks that executed code has not been tampered with and monitoring for malware-associated activity reduce the likelihood that hidden malicious code remains active.
Banning unapproved or unknown software and requiring testing plus authorization reduces the chance that hidden malicious code will be introduced into production environments.
Hardening callouts derived
Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).
Oracle Linux 9 (1 rule)
- V-271452 OL 9 must use a Linux Security Module configured to enforce limits on system services. prevents CWE-506
RHEL 9 (1 rule)
- V-258078 RHEL 9 must use a Linux Security Module configured to enforce limits on system services. prevents CWE-506