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Built on 30M+ download open source tools (Syft & Grype) 🔧

Community-proven, enterprise-hardened 💪

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#RedHat: More than 30 #npm packages under Red Hat's '@redhat-cloud-services' namespace were compromised in a supply-chain attack to steal developer credentials including GitHub secrets, AWS/Azure/GCP credentials, npm & PYPI tokens:
#SoftwareSupplyChain
👇
https://www.bleepingcomputer.com/news/security/red-hat-npm-packages-compromised-to-steal-developer-credentials/
Red Hat npm packages compromised to steal developer credentials

More than 30 npm packages under Red Hat's '@redhat-cloud-services' namespace were compromised in a supply-chain attack that distributed a new variant of the Shai-Hulud credential-stealing malware, dubbed "Miasma."

BleepingComputer

The New Digital Battlefield: Why 2026 Demands a Hardened Security Stance

2,251 words, 12 minutes read time.

The digital landscape has fundamentally shifted, and if you are still looking at your network through the lens of yesterday’s defensive strategies, you are already behind. We have entered an era where the perimeter is not just porous; it is effectively non-existent. As we navigate 2026, the rise of agentic artificial intelligence has transformed the threat landscape from a series of isolated incidents into a continuous, automated, and relentless war of attrition. Adversaries are no longer manually probing for weaknesses during business hours; they are deploying autonomous software agents that scout, exploit, and pivot through complex multi-cloud environments without human intervention. This shift marks the end of the era where reactive patch management and static firewall rules could keep an enterprise safe. Analyzing the current trajectory of these automated threats, it is clear that the primary battlefield has moved from the network edge to the identity layer, making every single access request a potential point of compromise that requires immediate, granular verification.

The Weaponization of Intelligence and the Death of Perimeter Defense

The most significant change to the security landscape this year is the democratization of sophisticated offensive tools. Attackers have evolved beyond simple phishing schemes, utilizing generative models to craft hyper-personalized deception campaigns that are virtually indistinguishable from legitimate communications. These are not the poorly translated emails of a decade ago; these are synthesized audio, video, and text-based deepfakes that exploit human psychology by mimicking trusted colleagues or vendors. When I look at the rapid maturation of these technologies, I see a clear pattern of adversaries targeting the human element while simultaneously leveraging machine learning to identify and exploit zero-day vulnerabilities in public-facing applications. The traditional concept of a “trusted network” has been completely eroded by this reality. It is no longer enough to guard the gates; organizations must now assume that their internal environments are already compromised and operate with a mindset of constant, zero-trust verification.

Moving Beyond Prevention Toward Active Operational Resilience

Prevention remains a fundamental goal, but in 2026, it is no longer the sole pillar of a successful security posture. The smartest organizations are now shifting their focus toward operational resilience, which acknowledges the inevitability of a security incident and prioritizes the ability to withstand, contain, and recover from such events in real time. This transition requires a move away from reliance on human analysts to manually triage every alert. We are seeing a necessary pivot toward automated incident response frameworks that can detect anomalies and orchestrate remediation actions at machine speed. By integrating security orchestration, automation, and response tools into a unified platform, security teams are finally beginning to close the gap between detection and mitigation. This level of responsiveness is the only way to counter the speed of agentic AI attacks, as traditional manual processes are simply too slow to keep pace with an adversary that never sleeps and never tires.

The Silent Expansion of the Shadow AI Workforce

One of the most insidious threats currently facing enterprises is the unchecked proliferation of shadow AI agents. In 2026, it is no longer just about employees using unapproved chatbots to summarize meeting notes; we are witnessing the deployment of autonomous agents that have been granted direct, persistent access to critical business data and internal systems. These digital coworkers operate with a level of agency that far outstrips simple automation, performing tasks like financial reporting, supply chain adjustments, and email management without constant human oversight. When an organization fails to maintain a comprehensive inventory of these agents, it effectively creates a shadow workforce that exists entirely outside the purview of traditional identity and access management systems. This identity sprawl introduces a massive, hidden attack surface where a single misconfigured agent—or one compromised through a malicious prompt injection—can initiate a cascade of unauthorized actions across the corporate network. Because these agents are designed to move data and execute processes, they essentially function as authorized insiders with elevated privileges, making the task of distinguishing between legitimate autonomous operations and malicious activity an increasingly complex needle-in-a-haystack problem.

Why Identity Has Replaced the Network as the Primary Battleground

For years, the industry obsessed over the network perimeter, pouring capital into firewalls and intrusion detection systems to keep the bad guys out. That era is definitively over. In the current threat environment, identity is the new perimeter, and it is failing under the weight of AI-powered credential abuse and deepfake deception. Attackers are no longer focused on finding a hole in a firewall; they are finding ways to walk through the front door using stolen or synthesized credentials that appear entirely authentic. When I evaluate the efficacy of modern security controls, it is obvious that static multi-factor authentication is no longer enough to stop an adversary who can perform real-time biometric spoofing or orchestrate a multi-stage social engineering attack that mimics an executive’s voice or likeness during a critical transaction. Every single access request must now be treated as a high-stakes event, validated against real-time behavioral patterns, device health telemetry, and geolocation data. We have moved into a world where trust must be continuously earned through granular verification, and any system that assumes a user or an agent is “trusted” based on a single point of entry is simply begging to be exploited.

The Rising Tide of Supply Chain and API Vulnerabilities

While the focus on agentic AI and identity is necessary, we cannot afford to ignore the systemic rot within our interconnected software ecosystems. Modern applications are built on a sprawling web of third-party APIs, open-source libraries, and cloud-native integrations that create countless back doors into an organization’s most sensitive data. Attackers have realized that they do not need to break through the fortified front door of a target company when they can instead compromise a trusted vendor, a CI/CD workflow, or an OAuth token that grants them indirect, authenticated access. The data from the past year confirms a dramatic increase in the exploitation of public-facing applications, often leveraged through these compromised trust relationships. This means that an organization’s security posture is only as strong as its weakest third-party integration. Moving forward, the only way to mitigate this risk is to treat every API and every software dependency as a potential ingress point, enforcing rigorous oversight and ensuring that security transparency extends far beyond the internal walls of the enterprise.

The Escalation of Data Poisoning and Model Integrity Risks

While much of the industry attention has been captured by the potential for AI-driven external attacks, there is an equally dangerous, albeit quieter, evolution occurring within the integrity of the data that powers these systems. We are currently facing a crisis of confidence regarding the inputs that drive corporate decision-making and autonomous workflows. In 2026, it is not enough to secure the infrastructure; we must now confront the reality of data poisoning, where adversaries inject subtle, malicious anomalies into the datasets used for training or fine-tuning enterprise machine learning models. This is not about a sudden, catastrophic system failure that triggers a loud alarm; it is about the gradual, calculated subversion of business logic. When an attacker successfully manipulates the underlying data, they can induce a model to make flawed recommendations, prioritize fraudulent transactions, or ignore malicious patterns in security logs. This turns a company’s most potent technological asset into a Trojan horse, working silently against the organization’s interests from the inside out. Securing the data pipeline has become a top-tier security imperative, requiring rigorous provenance tracking, continuous auditability of training sets, and the implementation of robust adversarial training techniques designed to identify and reject manipulated inputs before they can degrade the model’s reliability.

Addressing the Looming Talent Gap and Defensive Burnout

The rapid pace of technological change is not only taxing our technical systems; it is pushing human defenders to their absolute breaking point. We are operating in an environment where the volume, variety, and velocity of security alerts have completely outstripped the cognitive capacity of traditional security operations center teams. Expecting human analysts to keep pace with adversaries who are utilizing automated agents to conduct attacks at machine speed is a recipe for failure and inevitable burnout. This is why the integration of advanced analytics and automated triage is no longer just a luxury for the largest organizations; it is a fundamental survival requirement. The goal is to move the human element up the value chain, shifting the focus from mundane, repetitive monitoring tasks toward high-level threat hunting, architecture design, and strategic oversight. By offloading the grunt work of log aggregation, initial correlation, and basic incident containment to intelligent machines, we can preserve the sanity of our teams while simultaneously reducing the dwell time of attackers within our environments. A security strategy that fails to account for the human element of this equation is doomed to fall apart as the attrition rates in cybersecurity continue to climb in response to this relentless, high-pressure digital conflict.

Building a Future-Proof Architecture Based on Radical Transparency

Looking toward the remainder of this year and beyond, the only way for any organization to maintain a viable security stance is to embrace a philosophy of radical transparency and aggressive defensive engineering. We must abandon the secrecy that has historically defined corporate security departments and instead adopt a model of shared intelligence. This means actively participating in industry threat-sharing consortia, automating the ingestion of real-time indicators of compromise, and building systems that are designed to be observable at every layer of the stack. A closed, proprietary system is inherently more fragile in the current climate than an open, well-audited, and resilient architecture. We need to move toward a future where security controls are not just bolted onto existing infrastructure as an afterthought, but are instead natively woven into the software development lifecycle, the CI/CD pipeline, and the very identity frameworks that govern access. The threats we face today are systemic and collaborative; our defenses must be equally coordinated, pervasive, and uncompromising if we are to have any hope of maintaining control over our digital domains.

The Final Synthesis: Adapting to the Persistent Threat Paradigm

As we look toward the horizon, it becomes clear that the distinction between a peaceful digital state and an active security incident has effectively dissolved. We are no longer living in a world of binary outcomes where one is either secure or compromised. Instead, we are navigating a permanent state of high-intensity conflict where persistent, automated threats constantly probe for the slightest deviation in our operational baseline. Success in this environment is not defined by the absence of attacks, but by the ability to maintain the continuity of business operations while under fire. This requires a fundamental departure from the legacy mindset of static defenses and annual compliance audits. It demands a posture that is defined by agility, continuous monitoring, and the willingness to radically restructure how we manage identity, data, and software supply chains. The organizations that thrive will be those that accept this reality and invest heavily in the defensive infrastructure that allows them to observe, adapt, and respond faster than the adversary can evolve.

Institutionalizing Vigilance as a Core Business Function

The ultimate takeaway from the current threat landscape is that cybersecurity can no longer be sequestered into a back-office IT department. It must be elevated to a board-level priority that dictates how the company handles everything from vendor selection to product development. When leadership treats security as a checkbox, they are fundamentally misunderstanding the existential risk that these automated threats pose to their market position and operational integrity. I see this reality manifesting in the increasing frequency of leadership turnover within organizations that fail to treat security as a first-order business risk. If you are not integrating security into your organizational DNA, you are building your future on a foundation that is already actively being undermined by adversaries. Establishing a culture of vigilance means fostering a workforce that is trained to recognize the signs of deception, ensuring that security-by-design is non-negotiable for every engineering team, and maintaining a budget that reflects the severity of the threat landscape.

Securing the Path Forward in a Hostile Digital Ecosystem

In closing, the path forward is narrow and requires an uncompromising commitment to technical excellence. We cannot afford to be complacent, nor can we afford to trust in the effectiveness of legacy solutions that were never designed to operate against AI-driven adversaries. The future of security is about visibility, automation, and the ruthless elimination of unnecessary trust. It is about building a defense that is as intelligent, distributed, and persistent as the threats we are up against. This is not a short-term project that can be completed and filed away; it is a permanent change in how we operate, build, and interact in the digital world. The landscape will continue to shift, and the tools available to our adversaries will continue to improve, but by focusing on robust identity management, resilient architecture, and an unwavering commitment to data integrity, we can maintain the upper hand. The battle for the digital future is ongoing, and only those who are willing to adapt, innovate, and secure their environments with extreme prejudice will remain standing when the smoke clears.

SUPPORTSUBSCRIBECONTACT ME

D. Bryan King

Sources

Disclaimer:

The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

#agenticAIThreats #AIDrivenThreats #APIVulnerabilities #automatedDefense #automatedIncidentResponse #automatedSecurityTools #autonomousCyberAttacks #behavioralAnalytics #biometricSpoofing #cloudSecurity #credentialAbuse #cyberHygiene #cyberResilience #cyberRiskManagement #cyberWarfare #cybersecurityBestPractices #cybersecurityFuture #cybersecurityLeadership #cybersecurityPosture #cybersecurityStrategy #cybersecurityTrends2026 #dataPoisoning #deepfakeDetection #digitalInfrastructure #enterpriseProtection #enterpriseRisk #enterpriseSecurity #identityCentricSecurity #incidentManagement #informationSecurity #modelIntegrity #networkDefense #operationalResilience #riskManagement #securityAutomation #securityOperationsCenter #securityByDesign #shadowAI #softwareSupplyChain #supplyChainSecurity #threatHunting #threatIntelligence #threatLandscape #threatMitigation #ZeroTrustArchitecture
When I introduce someone to Asfaload's solution, I noticed the discussion often follows the same script. That led me to write it down in a post. Take look if you want to understand what Asfaload does and how: https://www.asfaload.com/blog/asfaload-intro/
#buildinpublic #security #softwaresupplychain
A typical Asfaload introduction — Asfaload

"Bring Your Own SBOM" sounds simple...

Until you try to manage thousands of them 📊

Scale is everything 📈

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False positives killing your team's productivity? 😵‍💫

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Nix is set to revolutionize the software supply chain

Nix isn't a magical solution to *all* supply chain woes but it does offer our industry a fighting chance

The 1,468-Day Suicide Note: Why Your SPFx Build is a Security Ghost Ship

1,958 words, 10 minutes read time.

You want to talk about the stack? Fine. We’re staring down the barrel of the SharePoint Framework (SPFx) toolchain—a bloated, rotting carcass of npm dependencies that would make a seasoned systems architect weep. You haven’t even touched your keyboard to define a single props interface yet, and your Black Duck scan is already screaming like a server room with a blown coolant line. You’re looking at hundreds of “High” and “Critical” vulnerabilities, and you’re paralyzed because you know the truth: if you try to fix them, you’ll snap the brittle spine of the Microsoft build engine.

The thesis is simple: Modern web development is a house of cards built on a foundation of unvetted, legacy garbage, and your job isn’t to reach “zero vulnerabilities”—it’s to master the art of tactical risk and architectural integrity in a broken system. Most of you handle this like cowards, either ignoring the red text until it’s too late or blindly running npm audit fix --force like a child playing with a loaded gun. We are going to break down the “Dirty Third-Party” reality, the failure of the “Vendor-Locked” mindset, and the structural collapse of the transitive dependency tree.

Before we dive into the wreckage, understand this: your career lives or dies in the node_modules folder. If you don’t know what’s running on your build agent, you aren’t an engineer; you’re just a script-kiddy with a LinkedIn premium account. We’re going to look at the three primary failure points that are leaking memory and security into your professional life: the False God of the Toolchain, the Dependency Debt Trap, and the cowardice of the “Just-In-Time” Developer.

The False God of the Toolchain: Why “Out of the Box” is Already Broken

When you run @microsoft/sharepoint, you’re not just downloading a framework; you’re inviting a thousand strangers into your codebase, and half of them are carrying pathogens. The SPFx toolchain is a monolithic beast built on Gulp, Webpack, and the Yeoman generator—technologies that, in the fast-moving world of JavaScript, are practically ancient artifacts. Microsoft “locks” these versions to ensure that when you run gulp bundle, the machine actually produces a file. But that stability comes at a visceral cost: security debt.

The direct dependencies Microsoft hands you are the tip of the iceberg, but the real rot is in the transitive dependencies—the dependencies of your dependencies. You see a “High” risk in a library like minimist or ajv and your first instinct is to patch it. Don’t. You’re working in a sandbox designed by Redmond, and that sandbox has walls you didn’t build. If you force an update on a deep-level utility library to satisfy a Black Duck scan, you’ll often find that the Gulp tasks responsible for manifest generation or localized resource mapping simply stop working.

This is the hard truth of the “Vendor-Locked” reality: Microsoft values a working build over a clean scan. They are shipping you a factory floor that was built three years ago, and they expect you to produce modern results on it. If you’re a junior, you’ll panic and try to fix the factory. If you’re a veteran, you’ll realize that the factory is a controlled environment. The “High” risk vulnerabilities in the build tools—things like Regular Expression Denial of Service (ReDoS)—are technically threats, but they require an attacker to control the input to your build script. If an attacker is already sitting on your build agent, you’ve already lost the war; the “vulnerable” npm package is just a footnote in your obituary.

You have to develop the technical discipline to distinguish between “Production Risk” and “Tooling Noise.” The code that actually ships in your .sppkg file is a fraction of what lives in your node_modules. If a vulnerability exists in a library used only during the minification process, it never reaches the end user’s browser. It never touches the SharePoint REST API. It never sees the light of day. Learning to document this “Accepted Risk” is what separates the architects from the code-monkeys who just want the red lights to turn green so they can go home.

The Heft Illusion: New Engine, Old Exhaust

Heft was supposed to be the savior of the SharePoint Framework—a rigorous, multi-project build system designed to bring sanity to the chaos of the Rush Stack. But here’s the hard truth: Heft is just a high-velocity delivery system for the same legacy rot. It doesn’t matter how fast the engine turns if the fuel is contaminated. Even in the latest 2026 releases of SPFx, Heft still sits on top of a mountain of transitive dependencies that Black Duck will tear apart before you can even run your first local serve.

The problem is systemic. Heft uses a “rig” system to standardize builds across projects, but those rigs are tied to specific versions of TypeScript, ESLint, and API Documenter. When you pull down the latest SPFx version, you’re still pulling in deep-nested libraries like glob-parent, trim-newlines, or loader-utils that have CVEs dating back to when you still had hair. Microsoft’s engineers have prioritized “build reproducibility” over “security hygiene.” They want to ensure that if a developer in London and a developer in Tokyo run the same command, they get the exact same byte-for-byte output. To achieve that, they freeze the version tree, effectively preserving vulnerabilities like they’re insects in amber.

Why isn’t Microsoft fixing this? Why isn’t their omnipotent Copilot writing new packages or refactoring the dying ones? Because Microsoft is obsessed with backward compatibility. They are terrified of breaking the billions of lines of enterprise code already running in SharePoint Online. They aren’t “fixing” the old toolchain; they are abandoning it in favor of a newer, leaner SPFx CLI, but until that transition is complete, you are stuck guarding a graveyard.

If you can’t handle the cognitive dissonance of a “dirty” scan and a “clean” deployment, you aren’t ready for enterprise-scale architecture. You have to be able to look a security lead in the eye and explain that the heft-sass-plugin‘s dependency on a vulnerable version of node-sass is irrelevant because the SASS is compiled to CSS before it ever leaves your machine. Integrity in code mirrors integrity in life: it’s about knowing what truly matters and what is just noise designed to distract the weak.

The Transitive Debt Trap: 1,468 Days of Stagnation

The final insult in the SPFx ecosystem is the transitive dependency—the friend of a friend who turns out to be a thief. This is our main thesis in a nutshell: you are inheriting legacy failure. Look no further than serialize-javascript version 6.0.2. This package is a common transitive dependency in the toolchain, and it was released on May 5, 2022. As of today, May 12, 2026, that code has been sitting in your stack for exactly 1,468 days.

Think about that number. For 1,468 days, this dependency has sat unchanged while the security landscape shifted under its feet. It is the smoking gun of vendor negligence. You are running 4-year-old code in a 2026 environment, and you can’t swap it out because the rest of the factory—Heft, the compilers, the minifiers—has been “tuned” to that specific, 1,468-day-old behavior. This isn’t just “npm noise”; it is a systemic failure to maintain the very tools we use to build the future.

You might ask, “Why don’t they just use AI to fix the dead ones?” Because AI-generated patches for structural dependencies require an astronomical level of regression testing that Microsoft isn’t willing to pay for. It’s cheaper for them to let you deal with the Black Duck report than it is for them to risk an AI-generated bug in the TypeScript compiler. They’ve outsourced the headache to you. This technical debt is massive, but the psychological debt is worse. Developers who rely entirely on automated scans are outsourcing their judgment to a machine.

In the SPFx world, transitive dependencies like serialize-javascript are a test of your resolve. You have to audit the audit. You have to trace the dependency path and prove that the vulnerable code path is never actually executed. Refactoring a life is like refactoring a dependency tree. You have to identify the toxic influences that were “installed” years ago—habits, excuses, and lazy shortcuts—and you have to have the courage to cut them out, even if it feels like the whole system might crash. If you’re willing to ship a project with 400 “High” risks just because “that’s how Microsoft made it,” you’re demonstrating a lack of professional pride.

The Protocol of the Unbroken Build

We’ve stripped the SPFx toolchain down to its rusted frame. We’ve looked at the “High” risks in the npm depths, the illusion of the Heft build system, and the 1,468-day trap of transitive debt. The hard truth is that the “perfect” scan is a lie. In the real world of SharePoint architecture, you are always operating in a state of partial failure. The question is: do you have the technical and personal stability to manage that failure, or does it manage you?

Stop looking for the “Update All” button. It doesn’t exist. Your career isn’t a series of successful npm installs; it’s a series of deployments that held up under load despite the flaws in the foundation. You need to stop being a “consumer” of frameworks and start being a “governor” of your environment. When Black Duck screams, you don’t panic. You analyze. You document. You defend.

The protocol for moving forward is simple, but it requires a level of discipline most of your peers lack. First, isolate your production dependencies from your build-time tools. Second, master the overrides or resolutions field in your package.json for the 1% of vulnerabilities that actually pose a runtime threat. Third, stop making excuses. If your deployment is blocked, it’s not Microsoft’s fault—it’s your failure to communicate the technical reality to your leadership.

Get back in the trenches. Audit your node_modules. Know your enemy. And for the love of the kernel, stop running code you haven’t vetted. The system only works if you do.

Call to Action: Stop being a silent passenger in a failing pipeline.

Microsoft’s reliance on 1,468-day-old vulnerabilities isn’t just a “technical constraint”—it’s a choice to prioritize legacy convenience over your security posture. It’s time to stop making excuses for a multi-billion dollar vendor and start holding the line. Every time you accept a “High” risk in a toolchain that could be fixed with a focused sprint and a bit of Copilot-driven refactoring, you are validating mediocrity.

  • Open the Ticket: Go to the SPFx GitHub Issues and the Microsoft 365 Developer Feedback portals. Don’t just report a bug—demand a modernized, decoupled toolchain that isn’t tethered to the corpses of dead npm modules.
  • Expose the Math: Show your leadership the raw numbers. Use the “1,468-day” metric. Show them that you are being forced to defend code released half a decade ago. Let the business pressure flow upward to the vendor.
  • Refuse the Rot: If we keep quiet, the “monthly cleanup” will remain a surface-level PR stunt. Push for a toolchain where security is baked in, not patched over with waivers.
  • The “Dark Matter” of the codebase only stays dark if you refuse to shine a light on it. It’s time to stop treating Microsoft like a protected entity and start treating them like a vendor that needs to earn your trust back.

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    SUPPORTSUBSCRIBECONTACT ME

    D. Bryan King

    Sources

    Disclaimer:

    The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

    #architect #BlackDuckScan #buildTimeDependencies #CICDSecurity #codeAudit #codingStandards #CVE #dependencyHell #dependencyRot #devdependencies #DevSecOps #EnterpriseArchitecture #Gulp #HeftBuildSystem #JavaScriptSecurity #LeadDeveloper #legacyCode #Microsoft365Development #MicrosoftToolchain #nodeModules #npmAudit #npmOverrides #npmVulnerabilities #packageLockJson #patchManagement #productionRisk #prototypePollution #ReDoS #riskMitigation #RushStack #SBOM #SCA #securityDebt #securityWaiver #serializeJavascript #SharePointDevelopment #SharePointFramework #softwareBillOfMaterials #SoftwareCompositionAnalysis #softwareEngineering #softwareSupplyChain #SPFx #technicalDebt #transitiveDependencies #TypeScriptBuild #vulnerabilityManagement #webPartSecurity #Webpack #YeomanGenerator #zeroDay

    #Laravel-lang: Supply Chain Attack Targets Laravel-Lang Packages with Credential Stealer #Malware

    Attackers injected a credential stealer into 200+ Laravel-lang package versions by pushing tags tied to attacker-controlled forks:

    #SoftwareSupplyChain
    👇
    https://www.aikido.dev/blog/supply-chain-attack-targets-laravel-lang-packages-with-credential-stealer

    Supply Chain Attack Targets Laravel-Lang Packages with Credential Stealer

    Attackers injected a credential stealer into 200+ versions of popular Laravel-Lang packages, delivering a credential stealer targeting cloud keys, SSH keys, browsers, crypto wallets and more.