# snyk-security-intel Published articles for snyk-security-intel. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The AI Hurricane Is Here DevFeed: [The AI Hurricane Is Here]() Original publisher: [Read original article]() Author: Manoj Nair Published: 2026-09-15T04:00:00Z Content type: opinion Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Artificial Intelligence](), [AI Development](), [Security](), [Vulnerabilities](), [Architecture & Design](), [audit trail]() Tags: [agentic-development](), [agents](), [ai](), [application-security](), [audit-trail](), [awareness](), [blog](), [code-security](), [developer](), [executive](), [security](), [security-labs](), [snyk-platform](), [snyk-security-intel](), [supply-chain-security](), [tech](), [validation](), [vulnerabilities](), [vulnerability-insights]() ### AI overview The article argues that AI is accelerating software creation and cyberattacks, widening the gap between machine-speed development and slower validation. It calls for securing agentic development, enforcing runtime controls, maintaining inventories and audit trails for production AI applications, and using independent validation. ### Source excerpt AI is accelerating software creation and cyberattacks alike. Leaders must secure agents and code at inception, enforce controls at runtime, and validate defenses independently. ## Benchmarking Secure-and-Functional Remediation and How Snyk Agent Fix Lifts Frontier-Model Fix Rates by over 14% DevFeed: [Benchmarking Secure-and-Functional Remediation and How Snyk Agent Fix Lifts Frontier-Model Fix Rates by over 14%]() Original publisher: [Read original article]() Author: Stephen Thoemmes Published: 2026-08-18T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [benchmarking](), [LLM evaluation / benchmarking](), [vulnerability](), [AI-assisted coding](), [JavaScript](), [Python]() Tags: [agentic](), [ai](), [awareness](), [benchmark](), [benchmarking](), [benchmarks](), [blog](), [code-security](), [developer](), [devops](), [evaluation](), [interest](), [java](), [javascript](), [performance](), [python](), [security](), [security-labs](), [snyk-code](), [snyk-security-intel](), [vulnerability](), [vulnerability-insights]() ### AI overview A benchmark of about 150 vulnerable JavaScript, Java, and Python samples evaluates whether frontier models produce fixes that are both secure and functional. The article reports that models working alone reach roughly 72-75%, while Snyk Intelligence raises Opus 4.6 from 74.6% to 85.4% and improves Python results from 64% to 88%. ### Source excerpt A benchmark of secure, functional vulnerability fixes across JavaScript, Java, and Python shows Snyk Intelligence helps frontier models break past a 72-75% performance plateau. ## A First Look at Evo Agentic AppSec: Agentic Remediation and Malicious Code Defense DevFeed: [A First Look at Evo Agentic AppSec: Agentic Remediation and Malicious Code Defense]() Original publisher: [Read original article]() Author: Brendan Hann Published: 2026-08-04T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities](), [AI Bots]() Tags: [agent](), [agentic](), [ai](), [ai-agents](), [ai-security](), [application-security](), [aspm](), [autonomous](), [blog](), [cli](), [code-security](), [developer](), [devops](), [interest](), [javascript](), [node-js](), [open-source-security](), [pull-request](), [python](), [security](), [snyk-code](), [snyk-open-source](), [snyk-platform](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [vulnerabilities](), [vulnerability-insights]() ### AI overview Snyk introduces Evo Agentic AppSec capabilities for automatically remediating vulnerabilities and blocking malicious packages before they reach code. The Remediation Agent triages issues, creates and checks fixes, and opens pull requests for review. ### Source excerpt Explore Snyk's first Agentic AppSec capabilities: an autonomous Remediation Agent that fixes vulnerabilities and Malicious Code Defense that blocks risky packages before they ship. ## AI Model Risk Intelligence Know Which Models You Can Trust Before You Deploy DevFeed: [AI Model Risk Intelligence Know Which Models You Can Trust Before You Deploy]() Original publisher: [Read original article]() Author: Ranko Cupovic Published: 2026-08-04T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Artificial Intelligence](), [Adversarial attacks](), [Security](), [asr](), [Benchmark](), [Deployment](), [pii](), [Code]() Tags: [ai](), [application-security](), [asr](), [attacks](), [awareness](), [benchmark](), [blog](), [deployment](), [developer](), [devops](), [enablement](), [model](), [pii](), [safety](), [security](), [snyk-platform](), [snyk-security-intel]() ### AI overview Evo's AI model risk score combines attack success rate and attack impact into a 0-1000 score. It is based on adversarial testing against standard system-prompt hardening and breaks risk down by attacker goals such as PII extraction, system-prompt extraction, and insecure code generation to support deployment decisions. ### Source excerpt AI model risk depends on how a model is deployed. Learn how Evo combines adversarial testing, attack impact, and deployment context to help teams compare models and enforce policy. ## Inside the keyv npm Compromise: preinstall Malware, Trusted Provenance, and IDE Hooks DevFeed: [Inside the keyv npm Compromise: preinstall Malware, Trusted Provenance, and IDE Hooks]() Original publisher: [Read original article]() Author: Liran Tal; Lion Kontorer Published: 2026-08-04T04:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [incident](), [releases]() Tags: [awareness](), [blog](), [ci](), [ci-cd](), [code](), [developer](), [devops](), [embedded](), [enablement](), [ide](), [incident](), [javascript](), [malware](), [manifest](), [node-js](), [npm-packages](), [open-source-security](), [payload](), [persistence](), [releases](), [research](), [scm](), [secrets](), [security](), [security-labs](), [snyk-learn](), [snyk-open-source](), [snyk-security-intel](), [software](), [supply-chain](), [supply-chain-security](), [vulnerability-insights]() ### AI overview Snyk reports an active supply-chain incident in which keyv 6.0.0 and ten related npm releases contained install-time malware. The article describes the malicious preinstall hook, its second-stage payload, affected-release investigation, and remediation guidance. ### Source excerpt keyv 6.0.0 and ten related npm releases shipped install-time malware. See affected versions, hashes, detection steps, and safe remediation order. ## Symlinks Are Still Scary (And Yes, You Can Commit Them to Git) DevFeed: [Symlinks Are Still Scary (And Yes, You Can Commit Them to Git)]() Original publisher: [Read original article]() Author: Randall Degges Published: 2026-07-09T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Git](), [ai-coding](), [AI Agent](), [Unix](), [GitHub]() Tags: [ai](), [ai-agent](), [ai-coding](), [application-security](), [article](), [awareness](), [code](), [developer](), [devops](), [devsecops](), [git](), [github](), [scm](), [secrets](), [security](), [security-labs](), [snyk-security-intel]() ### AI overview Symlink attacks exploit the way operating systems transparently redirect symbolic links to other paths. A malicious symlink committed to a Git repository can cause build scripts, editors, or AI coding tools to access unintended files, potentially enabling remote code execution. ### Source excerpt A harmless-looking symlink in a Git repo can redirect a tool into reading or writing anywhere on your machine. That old trick is now showing up in AI coding assistants, with nasty results. ## NVD in the AI Era: The Case for Multi-Source Vulnerability Intelligence DevFeed: [NVD in the AI Era: The Case for Multi-Source Vulnerability Intelligence]() Original publisher: [Read original article]() Author: Michelle Ginzburg; Noa Yaffe-Ermoza Published: 2026-06-25T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities](), [open-source-security](), [Security](), [data]() Tags: [ai](), [article](), [awareness](), [developer](), [devops](), [interest](), [open-source](), [open-source-security](), [security](), [snyk-open-source](), [snyk-security-intel](), [software](), [supply-chain-security](), [technology](), [vulnerability](), [vulnerability-insights]() ### AI overview The article explains why vulnerability intelligence is moving beyond reliance on the National Vulnerability Database. It describes NIST's shift toward prioritized triage and presents Snyk's multi-source approach, combining vulnerability advisories, analyst validation, internal enrichment, open-source context, and multiple risk assessments to help teams prioritize remediation. ### Source excerpt NIST's shift to risk-based enrichment makes one thing clear: modern security teams need more than a single public source. In the AI era, trusted vulnerability intelligence depends on multiple signals, human validation, and clear context. ## What nearly 10,000 developer environments reveal about agentic development risk DevFeed: [What nearly 10,000 developer environments reveal about agentic development risk]() Original publisher: [Read original article]() Author: Ricardo Miguel Silva Published: 2026-06-23T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [AI-assisted coding](), [supply-chain-security](), [Application Security](), [Model Context Protocol](), [Agent Skills](), [prompt injection](), [Security](), [software-development](), [Tooling]() Tags: [agentic](), [agents](), [ai](), [ai-coding](), [application-security](), [article](), [awareness](), [claude](), [code](), [cursor](), [developer](), [developers](), [development](), [devops](), [devsecops](), [enablement](), [interest](), [prompt-injection](), [secrets](), [security](), [security-labs](), [skills](), [snyk-code](), [snyk-platform](), [snyk-security-intel](), [software-development](), [supply-chain](), [supply-chain-security](), [systems](), [tool](), [tooling](), [tools](), [vs-code]() ### AI overview Snyk analyzed nearly 10,000 developer environments and found that agentic development is introducing a new software supply chain layer. The article reports widespread use of multiple AI coding environments, MCP servers, and agent skills, along with confirmed prompt injection findings and security exposure that AppSec teams need to govern. ### Source excerpt AI coding agents are adding a new layer to the software supply chain. Learn what Snyk found in nearly 10,000 developer environments and how to secure the tools, instructions, and permissions behind agentic development. ## The Government Just Banned an AI Model. An Engineer's Perspective. DevFeed: [The Government Just Banned an AI Model. An Engineer's Perspective.]() Original publisher: [Read original article]() Author: Randall Degges Published: 2026-06-15T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Artificial Intelligence](), [Security](), [Vulnerabilities](), [anthropic](), [Jailbreak](), [Machine Learning, Security Attacks](), [Code review](), [migration]() Tags: [ai](), [analysis](), [anthropic](), [application-security](), [awareness](), [blog](), [bugs](), [code](), [compliance](), [developer](), [devops](), [executive](), [interest](), [jailbreak](), [migration](), [security](), [snyk-platform](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [tech](), [vulnerabilities](), [vulnerability-insights](), [work]() ### AI overview An engineer examines the abrupt government-ordered shutdown of Anthropic's Fable 5 and Mythos 5 AI models after a jailbreak exposed powerful vulnerability-finding capabilities. The article argues that dependence on an AI vendor can create a supply-chain risk for engineering and security workflows, emphasizing the need for contingency plans when model access can disappear without warning. ### Source excerpt A government order abruptly took down a powerful AI model, exposing a new kind of supply chain risk for engineering teams. Security leaders need contingency plans before the next model disappears. ## So You Have an AI Security Budget. Now what? DevFeed: [So You Have an AI Security Budget. Now what?]() Original publisher: [Read original article]() Author: Snyk Team Published: 2026-06-04T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [ai security](), [Securing AI](), [Security](), [coding](), [Model Context Protocol]() Tags: [agentic](), [ai](), [ai-agents](), [ai-security](), [application-security](), [aspm](), [awareness](), [blog](), [compliance](), [development](), [devops](), [devsecops](), [enablement](), [executive](), [interest](), [mcp](), [mcp-server](), [policy](), [security](), [snyk-apprisk](), [snyk-platform](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [tech]() ### AI overview The article argues that AI security budgets should prioritize unified visibility, governance, policy enforcement, risk assessment, adversarial testing, runtime protection, and audit evidence across the full AI lifecycle. It distinguishes between securing agents that build software and agents operating in production applications. ### Source excerpt An AI security budget should fund more than visibility. The real priority is unified governance and enforcement across agentic development and production apps. ## Protestware by open source maintainer to hinder agentic coding: The jqwik 1.10.0 Prompt Injection DevFeed: [Protestware by open source maintainer to hinder agentic coding: The jqwik 1.10.0 Prompt Injection]() Original publisher: [Read original article]() Author: Brian Vermeer Published: 2026-06-02T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [prompt injection](), [agentic-coding](), [AI-assisted coding](), [Open Source](), [Command-line interface](), [Maven](), [CI/CD](), [payload](), [Claude Code](), [cursor](), [GitHub Copilot]() Tags: [agentic-coding](), [agents](), [ai](), [ai-agents](), [ai-coding](), [article](), [awareness](), [ci-cd](), [claude-code](), [code](), [copilot](), [cursor](), [developer](), [devops](), [github](), [interest](), [java](), [open-source](), [open-source-security](), [payload](), [prompt-injection](), [sandbox](), [scm](), [security](), [security-labs](), [snyk-code](), [snyk-open-source](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [testing](), [tools](), [vulnerability-insights]() ### AI overview The article examines jqwik 1.10.0, whose maintainer embedded a prompt injection in test output aimed at AI coding agents. ANSI terminal escape codes concealed the instruction from humans while leaving it visible to tools processing raw logs, creating a supply-chain risk for CI/CD pipelines and agentic coding workflows. ### Source excerpt jqwik 1.10.0 added a hidden prompt injection aimed at AI coding agents, using terminal escape codes to conceal destructive instructions from humans while leaving them readable to logs and tools. ## Miasma supply chain attack: malicious code found in @redhat-cloud-services npm packages DevFeed: [Miasma supply chain attack: malicious code found in @redhat-cloud-services npm packages]() Original publisher: [Read original article]() Author: Brian Clark Published: 2026-06-01T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Malware](), [npm packages](), [redhat](), [incident](), [GitHub](), [OpenID connect (OIDC)](), [API](), [React](), [Cloud]() Tags: [api](), [article](), [awareness](), [ci-cd](), [cloud-security](), [developer](), [devops](), [devsecops](), [enablement](), [github](), [incident](), [interest](), [npm-packages](), [oidc](), [payload](), [react](), [redhat](), [sbom](), [scm](), [scope](), [secrets](), [security](), [snyk-open-source](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [tech](), [vulnerability-insights]() ### AI overview The Miasma supply chain attack compromised at least 32 @redhat-cloud-services npm package releases used by the Red Hat Hybrid Cloud Console. The malicious installation script steals developer and cloud credentials, attempts to spread through packages victims can publish, and may expose secrets on affected workstations and CI runners. ### Source excerpt A supply chain worm dubbed Miasma has been found in dozens of @redhat-cloud-services npm releases. The malicious preinstall hook steals credentials, probes cloud identities, and can republish other packages. ## Laravel Lang Supply Chain Advisory DevFeed: [Laravel Lang Supply Chain Advisory]() Original publisher: [Read original article]() Author: Brian Clark Published: 2026-05-23T16:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Laravel](), [Composer](), [Credential theft](), [Malware](), [PHP](), [passwords](), [ssh](), [CI/CD](), [Cloud](), [Kubernetes](), [GitHub]() Tags: [application-security](), [article](), [awareness](), [ci-cd](), [cloud](), [code](), [credential-theft](), [developer](), [devops](), [devrel](), [github](), [kubernetes](), [laravel](), [php](), [scm](), [secrets](), [security](), [security-labs](), [snyk-open-source](), [snyk-security-intel](), [ssh](), [supply-chain](), [supply-chain-security](), [tech](), [tokens](), [vulnerability-insights]() ### AI overview The article examines a Laravel Lang supply-chain attack in which hundreds of historical Packagist releases for four community-maintained Laravel localization libraries were republished with malicious code. The injected Composer hook executes on PHP requests, downloads a second stage, and runs a credential stealer targeting cloud keys, Kubernetes and Vault secrets, CI/CD tokens, SSH material, environment files, browser data, password-manager vaults, crypto wallets, and messaging tokens. ### Source excerpt Hundreds of historical Laravel Lang Packagist releases were republished with malicious code, putting Composer installs at risk of credential theft and secret exfiltration. ## Securing The AI Revolution: How Snyk And Our Partners Are Scaling For The Future DevFeed: [Securing The AI Revolution: How Snyk And Our Partners Are Scaling For The Future]() Original publisher: [Read original article]() Author: Tom Nielsen Published: 2026-05-21T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Securing AI](), [ai security](), [AI-assisted coding](), [ai-coding](), [Claude Code](), [cursor](), [Anthropic Claude](), [atlassian](), [Amazon Web Services](), [Claude](), [OpenAI]() Tags: [agents](), [ai](), [ai-coding](), [ai-security](), [amazon](), [anthropic](), [article](), [atlassian](), [awareness](), [aws](), [claude](), [claude-code](), [code](), [cursor](), [customer](), [developers](), [devsecops](), [ecosystem](), [enablement](), [executive](), [interest](), [openai](), [partners](), [platform](), [related-content](), [scale](), [security](), [snyk-platform](), [snyk-security-intel](), [snyk-team](), [tech](), [workflows]() ### AI overview Snyk describes how AI coding agents are accelerating code creation beyond security teams' review capacity, pushing enterprises to govern AI-generated code at scale. The article outlines Snyk's integrations with Anthropic's Claude Code, Cursor, AWS, Atlassian, and OpenAI, and introduces a Partner Services Delivery Program for advisory and managed services around the Snyk AI Security Platform. ### Source excerpt AI is accelerating code creation. Learn how Snyk is scaling its AI Security Platform and investing in new partner programs to help enterprises govern AI-generated code at scale. ## TanStack Npm Packages Compromised Inside The Mini Shai Hulud Supply Chain Attack DevFeed: [TanStack Npm Packages Compromised Inside The Mini Shai Hulud Supply Chain Attack]() Original publisher: [Read original article]() Author: Stephen Thoemmes Published: 2026-05-11T05:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [incident]() Tags: [article](), [attacks](), [cache](), [ci-cd](), [cryptographic](), [developer](), [devops](), [devsecops](), [github](), [github-actions](), [identity](), [incident](), [maintainers](), [memory](), [npm-packages](), [open-source-security](), [sbom](), [scm](), [security](), [snyk-open-source](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [teampcp](), [tech](), [toolchain](), [vulnerability-insights](), [workflow]() ### AI overview TanStack's legitimate release pipeline was hijacked to publish malicious npm packages with valid SLSA provenance. The article describes the Mini Shai-Hulud supply-chain attack, its impact, and remediation guidance to rotate secrets on affected install environments. ### Source excerpt On May 11, 2026, the Mini Shai-Hulud worm compromised 84 npm package artifacts across 42 @tanstack/* packages (as well as @squawk/*, @mistralai/* packages, and others) by chaining a GitHub Actions "Pwn Request," cache poisoning, and OIDC token extraction from runner memory -- producing the first npm supply chain attack with valid SLSA Build Level 3 attestations. Here's what happened, what was stolen, and what you need to do right now. ## lightning PyPI Compromise: A Bun-Based Credential Stealer in Python DevFeed: [lightning PyPI Compromise: A Bun-Based Credential Stealer in Python]() Original publisher: [Read original article]() Author: Stephen Thoemmes Published: 2026-04-30T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [Malware](), [Python](), [Bun](), [JavaScript](), [GitHub](), [snyk-learn](), [npm](), [releases]() Tags: [article](), [awareness](), [ci-cd](), [code](), [developer](), [devops](), [github](), [javascript](), [open-source-security](), [payload](), [python](), [release](), [sbom](), [secrets](), [security](), [security-labs](), [snyk-learn](), [snyk-open-source](), [snyk-security-intel](), [supply-chain-security](), [tech](), [vulnerability-insights]() ### AI overview A compromised lightning PyPI release downloads the Bun JavaScript runtime at import time and executes an approximately 11 MB obfuscated credential stealer. The article covers the package compromise, Snyk advisory, remediation, and similarities to the preceding Mini Shai-Hulud npm campaign. ### Source excerpt A malicious release of the lightning PyPI package ships a credential-stealing Bun payload that runs on import. Snyk has a live advisory. Here's what's in the package, what to rotate, and how the payload pattern connects to the Mini Shai-Hulud npm campaign one day earlier. ## "A Mini Shai-Hulud Has Appeared": Bun-Based Stealer Hits SAP @cap-js and mbt npm Packages DevFeed: ["A Mini Shai-Hulud Has Appeared": Bun-Based Stealer Hits SAP @cap-js and mbt npm Packages]() Original publisher: [Read original article]() Author: Stephen Thoemmes Published: 2026-04-29T00:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [incident](), [releases]() Tags: [article](), [awareness](), [ci-cd](), [developer](), [devops](), [ecosystem](), [github](), [github-actions](), [incident](), [interest](), [javascript](), [node-js](), [npm-packages](), [open-source-security](), [payload](), [releases](), [sap](), [scm](), [security](), [snyk-open-source](), [snyk-security-intel](), [supply-chain](), [supply-chain-security](), [tech](), [tool](), [toolchain](), [vulnerability-insights]() ### AI overview A supply-chain attack compromised four npm packages in the SAP development ecosystem. Malicious releases download Bun and execute an obfuscated credential stealer, while SAP published clean post-incident versions and Snyk issued advisories. ### Source excerpt A new npm supply chain attack self-branded "Mini Shai-Hulud" compromised four SAP-ecosystem packages on April 29, 2026. Snyk has live advisories. Here's the technical breakdown, IOCs, and what to do. ## Bridging the Gap to Autonomous Fixes: Snyk and Atlassian Unveil Intelligent Remediation for Jira DevFeed: [Bridging the Gap to Autonomous Fixes: Snyk and Atlassian Unveil Intelligent Remediation for Jira]() Original publisher: [Read original article]() Author: Jack Ryan Published: 2026-04-29T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities](), [AI-assisted coding](), [cursor]() Tags: [agentic](), [ai](), [ai-agent](), [application-security](), [atlassian](), [autonomous](), [awareness](), [blog](), [ci-cd](), [claude-code](), [cli](), [co-created](), [cursor](), [customer](), [customer-featured](), [developer](), [devops](), [devsecops](), [enablement](), [integration](), [interest](), [mcp](), [mcp-server](), [pull-request](), [scm](), [security](), [snyk-platform](), [snyk-security-intel](), [vulnerabilities]() ### AI overview Snyk and Atlassian describe an integration that turns Jira vulnerability tickets into AI-assisted remediation workflows. An agentic development environment retrieves ticket context, generates a fix in a local repository, validates it with a Snyk scan, and can open a pull request. ### Source excerpt Bridge the gap to autonomous fixes. Snyk and Atlassian integrate to transform Jira security tickets into precision fixes using Snyk Studio AI, eliminating context switching and resolving vulnerabilities in minutes. ## Qinglong task scheduler RCE vulnerabilities exploited in the wild for cryptomining DevFeed: [Qinglong task scheduler RCE vulnerabilities exploited in the wild for cryptomining]() Original publisher: [Read original article]() Author: Julia Kinday Published: 2026-04-27T00:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities](), [incident](), [Security](), [Express](), [GitHub Issues](), [Docker](), [GitHub](), [Open Source](), [Server](), [Shell](), [JavaScript](), [npm]() Tags: [application-security](), [attacks](), [auth](), [authentication](), [awareness](), [blog](), [ci-cd](), [cloud](), [cloud-security](), [code](), [developer](), [devops](), [docker](), [enablement](), [github](), [github-issues](), [incident](), [javascript](), [malware](), [node-js](), [open-source](), [open-source-security](), [routing](), [security](), [security-labs](), [self-hosted](), [servers](), [snyk-code](), [snyk-container](), [snyk-learn](), [snyk-open-source](), [snyk-security-intel](), [tech](), [typescript](), [vulnerabilities](), [vulnerability]() ### AI overview Qinglong, an open-source self-hosted task scheduling panel, was exploited through two authentication bypass vulnerabilities affecting versions 2.20.1 and earlier. Attackers used unauthenticated remote code execution to deploy cryptocurrency miners on publicly accessible installations. The article describes the vulnerabilities, their Express.js routing and middleware flaws, and the impact on operators using cloud VPS instances and home servers. ### Source excerpt Two authentication bypass vulnerabilities (CVE-2026-3965, CVE-2026-4047) in the Qinglong task scheduling panel were exploited in the wild to deploy cryptomining malware. Here's what happened, how the attacks worked, and what self-hosted application operators should learn from this incident. ## JPMorgan Just Published a Cyber To-Do List and Snyk Covers 8 of the 10 Items. How do you stack up? DevFeed: [JPMorgan Just Published a Cyber To-Do List and Snyk Covers 8 of the 10 Items. How do you stack up?]() Original publisher: [Read original article]() Author: John Carione Published: 2026-04-23T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Resilience](), [Security](), [snyk-iac](), [supply-chain-security](), [vulnerability](), [Infrastructure as code](), [Open Source](), [AI Development](), [releases](), [pull-requests](), [Code]() Tags: [ai](), [ai-development](), [awareness](), [blog](), [cloud-security](), [code](), [contentlab](), [developer](), [devops](), [executive](), [iac-security](), [interest](), [open-source](), [open-source-security](), [pull-requests](), [releases](), [resilience](), [sbom](), [secrets](), [security](), [snyk-cloud](), [snyk-code](), [snyk-container](), [snyk-iac](), [snyk-open-source](), [snyk-platform](), [snyk-security-intel](), [supply-chain-security](), [vulnerability]() ### AI overview JPMorganChase's 10-point cyber resilience checklist addresses enterprise security priorities spanning software versions, open-source dependencies, SBOMs, build pipelines, secrets, infrastructure as code, and AI development. The article explains how Snyk covers eight of the ten actions through developer workflows and its security platform. ### Source excerpt JPMorganChase published a 10-point cyber resilience checklist. See how Snyk covers 8 of the 10 actions and where it fits in your security stack. ## Hardcoding Security into Every Commit: The Future of Snyk Secrets DevFeed: [Hardcoding Security into Every Commit: The Future of Snyk Secrets]() Original publisher: [Read original article]() Author: Kate Powers Burke; Waleed Arshad Published: 2026-04-23T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [AI Agent](), [Application Security](), [API keys](), [passwords](), [Model Context Protocol](), [shadow AI]() Tags: [ai](), [ai-agent](), [ai-agents](), [api-keys](), [application-security](), [awareness](), [blog](), [ci-cd](), [developer](), [devops](), [docker](), [enablement](), [engineering](), [executive](), [interest](), [kubernetes](), [model-context-protocol](), [passwords](), [prompt-injection](), [scm](), [secrets](), [security](), [shadow-ai](), [snyk-platform](), [snyk-security-intel](), [software-development](), [tech](), [vs-code](), [vulnerability]() ### AI overview Snyk describes how cloud-native development and AI-generated code are increasing secret sprawl across repositories, CI/CD logs, and collaboration tools. The article argues that autonomous AI agents expand this risk by creating and executing credentials, connecting to MCP servers, and changing systems without human visibility. It presents Snyk Secrets as a real-time approach to detecting exposed sensitive data while maintaining developer speed. ### Source excerpt Snyk Secrets bridges the gap between code and credentials with real-time, high-precision detection, ensuring your most sensitive data stays hidden while your developers stay fast. ## Governing Security in the Age of Infinite Signal - From Discovery to Control DevFeed: [Governing Security in the Age of Infinite Signal - From Discovery to Control]() Original publisher: [Read original article]() Author: Randall Degges Published: 2026-04-10T00:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [Securing AI](), [ai security](), [Artificial Intelligence](), [anthropic](), [Vulnerabilities](), [Responsibility & Safety]() Tags: [ai](), [ai-security](), [anthropic](), [application-security](), [article](), [automation](), [autonomous](), [awareness](), [devops](), [devsecops](), [enablement](), [engineering](), [executive](), [finserv](), [interest](), [production](), [security](), [snyk-platform](), [snyk-security-intel](), [supply-chain-security](), [tech](), [vulnerabilities](), [vulnerability-insights]() ### AI overview Anthropic's AI-driven vulnerability discovery systems can uncover software flaws at unprecedented scale, but increased capability also expands risk. The article argues that enterprise security must move from detection to control through deterministic validation, prioritization, remediation automation, and governance. ### Source excerpt AI can find vulnerabilities at scale, but enterprise security now depends on control, validation, and governance that can keep up. ## Snyk and Cline: Securing the Future of Autonomous Coding DevFeed: [Snyk and Cline: Securing the Future of Autonomous Coding]() Original publisher: [Read original article]() Author: Carey Stanton Published: 2026-02-18T05:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [agentic-coding](), [Security](), [ai-coding](), [Model Context Protocol](), [coding](), [Pull Request]() Tags: [agentic](), [agentic-coding](), [agents](), [ai](), [ai-coding](), [americas](), [application-security](), [autonomous](), [blog](), [code-security](), [coding](), [developer](), [devsecops](), [enablement](), [enterprise](), [executive](), [external](), [integration](), [interest](), [model-context-protocol](), [pmm](), [pull-request](), [reactive](), [related-content](), [review](), [scm](), [security](), [snyk-code](), [snyk-platform](), [snyk-security-intel](), [tech](), [vs-code]() ### AI overview Snyk and Cline announce a partnership to integrate enterprise security intelligence into autonomous coding workflows. Using the Model Context Protocol, Snyk Studio guides Cline's agent in real time, helping enforce security standards before generated code reaches a pull request. ### Source excerpt Snyk and Cline have partnered to integrate enterprise-grade security directly into autonomous coding loops. By bridging the trust gap, Snyk and Cline enable teams to innovate faster while maintaining rigid security and compliance standards. ## How a Malicious Google Skill on ClawHub Tricks Users Into Installing Malware DevFeed: [How a Malicious Google Skill on ClawHub Tricks Users Into Installing Malware]() Original publisher: [Read original article]() Author: Liran Tal Published: 2026-02-10T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [OpenClaw](), [AI Agent](), [Agent Skills](), [Malware](), [prompt injection](), [supply-chain-security](), [Social engineering](), [Google](), [Linux](), [macOS](), [Windows](), [GitHub]() Tags: [agent-skills](), [agents](), [ai](), [ai-agents](), [awareness](), [blog](), [developer](), [devrel](), [github](), [interest](), [linux](), [macos](), [malware](), [open-source-security](), [openclaw](), [prompt-injection](), [security](), [security-labs](), [snyk-open-source](), [snyk-security-intel](), [social-engineering](), [supply-chain](), [supply-chain-security](), [windows]() ### AI overview Snyk researchers describe an active supply chain attack targeting OpenClaw users through a malicious Google integration skill distributed on ClawHub. The skill uses instructions in SKILL.md to fabricate a prerequisite, persuade users to run an installer, and deploy malware across Windows and macOS/Linux systems. ### Source excerpt Breaking: Snyk researchers uncover a malicious "Google" skill on ClawHub that tricks users into installing malware via a fake OpenClaw dependency. Learn how the attack works and how to protect your AI agents. [Next page]()