
How RL mapped a Midnight Blizzard-linked campaign from two hashes
ReversingLabs expanded the published hashes into a staging server, five stagers, two lure files and the domain-to-server links.

ReversingLabs expanded the published hashes into a staging server, five stagers, two lure files and the domain-to-server links.

MFT and other trusted systems collect files, access and connections. Patching and inspecting what moves through it are separate defenses.
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Post-quantum readiness depends on knowing where cryptography lives in the software you run, and a list of components can't tell you that.

PixelLeak exposures included many sensitive documents, highlighting why inventories of what agents can reach and publish are needed.

ReversingLabs identified and classified the malware weeks before the report was published — showing why behavioral intelligence and historical telemetry matter in the AI age.

With the EU Cyber Resilience Act’s Article 14 reporting requirements now live, executives need evidence drawn from the final software artifact.

New btree malware bypasses the install script, negating the popular repo's measure barely two months after adoption.

A new benchmark of eight leading AI systems shows that an intelligent model still needs a good context-rich harness.

This post-mortem on recent supply chain attacks and threat actors including S1ngularity, Shai-Hulud and TeamPCP can help you prepare for what comes next.

Top mathematicians are hoping advanced mathematics and cryptographic techniques will help verify AI agents’ actions and claims.

Organizations’ cyber dollars are shifting, not growing. But AI compute costs can spiral — and that is why context matters in your agentic SOC.

The package poses as a security tool targeting developers looking to implement Internet-based apps with telecom networks.

Controlling coding agent overpermissioning is key to security. But recent frontier AI incidents show that problems don’t stop there.

The coding languages shift — fueled by Microsoft, Google, and Amazon and enabled by AI coding — is driven by the quest for secure software.

The software industry is entering the AI era burdened by legacy flaws and weaknesses, making Secure by Design essential.
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