Critical
Security
Software Supply Chain
Red Hat npm supply chain attack: “Miasma” credential-stealing worm
On 1 June 2026, Red Hat disclosed a supply chain compromise affecting packages under the
@redhat-cloud-services npm namespace. Current reporting indicates that a compromised GitHub account
was used to inject malicious code into packages maintained in a Red Hat GitHub organization. The malware is described
by researchers as a credential-stealing worm derived from the Mini Shai-Hulud framework and designed to harvest cloud,
repository, npm, SSH, and Kubernetes secrets.
Red Hat states that the affected packages are frontend libraries and that the malicious code was not published
for customer consumption through the console.redhat.com system. That statement reduces product-delivery
exposure, but it does not eliminate risk for development environments or CI/CD pipelines that pulled compromised npm
artifacts directly.
Key facts
32 packages and 96 compromised versions have been reported by researchers, with roughly 80,000–117,000 weekly downloads across affected packages.
Attack pattern
Install-time credential theft, repository compromise, token abuse, and package publication using apparently legitimate provenance signals.
Most exposed environments
Developer workstations, CI/CD runners, internal package mirrors, cloud build systems, and repositories using Red Hat cloud frontend packages.
TPRM implication
Software supplier assurance must include package provenance, registry controls, token hygiene, SBOM validation, and post-install execution monitoring.
Recommended actions
- Search development environments and CI/CD pipelines for affected
@redhat-cloud-services package versions.
- If exposure is confirmed, rotate AWS, GCP, Azure, GitHub, npm, SSH, Docker, GPG and Kubernetes credentials.
- Audit GitHub repositories for unauthorized branches, workflows, secrets, and token-generation activity.
- Pin dependencies to known-good versions and avoid
latest for build-critical packages.
- Require high-risk software vendors to provide SBOMs, dependency monitoring evidence, and incident notification commitments.
Critical
Regulatory
AI Governance
EU AI Act Article 50 transparency obligations enter force on 2 August 2026
The EU AI Act’s Article 50 transparency obligations become applicable on 2 August 2026. As of
3 June 2026, that leaves 60 days to confirm that AI vendors and internal deployer controls are ready.
The European Commission’s draft guidelines clarify expectations for informing users when they interact with AI systems,
marking AI-generated or manipulated content, disclosing deepfakes, and notifying people when emotion recognition or
biometric categorisation systems are used.
The Digital Omnibus delays some high-risk AI timelines, but it does not remove the immediate need to implement Article 50
disclosures for chatbots, generative AI, emotion recognition, biometric categorisation, and deepfake-related use cases.
Key deadline
2 August 2026: Article 50 transparency obligations apply; GPAI enforcement and AI literacy expectations also become more practically relevant.
Vendor types in scope
Chatbots, generative AI platforms, AI content tools, emotion recognition systems, biometric categorisation services, and GPAI model providers.
Deployer exposure
Organizations using vendor AI systems in the EU may have their own disclosure duties even when the underlying model or service is provided by a third party.
TPRM implication
AI vendor due diligence must move from policy review to evidence: UI disclosures, machine-readable marking, contract clauses and operational ownership.
Recommended actions
- Create an inventory of all AI systems supplied by third parties, including embedded AI features in SaaS platforms.
- Verify Article 50 disclosure capabilities for chatbots, GenAI outputs, deepfakes, emotion recognition and biometric categorisation.
- Add AI Act compliance warranties, audit rights, documentation obligations, and incident-notification commitments to vendor contracts.
- Document AI literacy training for staff using or procuring AI-enabled vendor systems.
- For GPAI providers, request technical documentation, copyright-policy evidence, and Code of Practice readiness.
Critical
Regulatory
Operational Resilience
DORA: Register of Information submissions under supervisory scrutiny
DORA enforcement is active across the EU financial sector, with the 2026 Register of Information cycle exposing
data quality and governance issues. Industry guidance notes that in the 2024 dry run, only 6.5%
of nearly 1,000 participating entities passed all 116 data quality checks. National competent authorities have
been issuing feedback, correction requirements, and additional data-quality checks during the 2026 reporting cycle.
The practical effect is immediate for both financial entities and ICT vendors. Financial institutions must prove that
outsourced ICT services, critical or important functions, contract metadata, subcontractors and exit arrangements are
accurately recorded. ICT providers should expect more due diligence, contract remediation, and evidence requests.
Key finding
The 2024 dry run showed weak readiness: only 6.5% of registers passed all 116 checks.
Oversight shift
The ESAs have designated 19 critical ICT third-party providers for direct EU-level oversight.
Most exposed vendors
Cloud providers, SaaS platforms, managed service providers, data centres, telecoms, core banking providers and technology outsourcers.
TPRM implication
DORA RoI data quality is now a live supervisory issue, not a documentation exercise. Poor supplier data can become a compliance finding.
Recommended actions
- Confirm national RoI submission status and whether the register was accepted, rejected, or returned for correction.
- Reconcile ICT contracts against DORA Article 30 minimum contractual requirements.
- Identify dependencies on the 19 designated CTPPs and document concentration and exit analysis.
- Prepare evidence packs for ICT vendors serving financial-sector clients.
- Start threat-led penetration testing preparation for in-scope entities where applicable.