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6 stories in the last 3d

Three Threat Groups Target Russian Enterprises With Backdoors, Ransomware, and Wipers

Kaspersky details NightEagle, Hacking Cat, and Toy Ghouls targeting Russian enterprises with Exchange backdoors, Gorilla RAT, and destructive Monkey ransomware.

Kaspersky reports three threat clusters targeting Russian enterprises: NightEagle (APT-Q-95), the pro-Ukrainian hacktivist group Hacking Cat, and Toy Ghouls. NightEagle uses compromised VPN credentials and the GhostContainer modular backdoor to fully compromise Microsoft Exchange servers, chaining CVE-2020-0688 exploitation, BlueKeep (CVE-2019-0708), Active Directory vulnerabilities, and DCSync to seize domain controllers. Hacking Cat exploits Exchange flaws including CVE-2021-26855 and CVE-2026-42897 to deliver the Gorilla RAT and multiple Monkey ransomware variants written in Rust, .NET, C++, and Golang targeting Windows, Linux, and VMware ESXi, with some variants acting as wipers that never store the encryption key.

The Hacker Newsupdated · 14m agofirst · 14h agoThreat actor in the wild 3 sourcesCVE-2020-0688CVE-2019-0708CVE-2021-26855+1 CVEs

DeepSeek-v4.1 Flash: Pushing the Limits of KV Cache Compression

DeepSeek-V4.1 Flash is a 552B-parameter multimodal MoE model with 1M-token context achieving 4x KV cache compression for long-horizon agent workloads.

A detailed analysis of the DeepSeek-V4.1 Flash technical report describes a 552B-parameter multimodal mixture-of-experts model supporting contexts up to 1 million tokens. Its Causal Encoder-Decoder (CED) architecture activates 8B parameters during prefill and 16B during decode, and reportedly delivers about 420 tokens/s. Joint optimization of architecture (CSA2 cross-layer compression), FP4 KV cache precision, and deployment strategy cuts runtime KV cache to roughly 1/4 and persistent KV cache to about 1/8 of DeepSeek-V4-Flash at the same sequence length, targeting storage and bandwidth bottlenecks in long-horizon agent serving. The author notes all DeepSeek-V4 Pro models were taken offline following the release.

CenterPoint Energy Confirms Data Breach Exposing Customers’ Personal Information

CenterPoint Energy confirmed an unauthorized third party accessed customer personal data via an external system, disclosed in an SEC Form 8-K filing.

CenterPoint Energy disclosed in a September 14, 2026 Form 8-K that an unauthorized third party obtained personal information of some customers through one of the company's external systems. The company learned of the incident after an online post claimed possession of a customer dataset, then activated incident-response protocols and engaged external forensic specialists. Electric and gas delivery operations were unaffected and the company does not expect a material financial impact, though response, notification, and compliance costs are being incurred. The number of affected customers, data types, and threat actor remain undisclosed as the investigation continues.

GBHackersupdated · 14h agofirst · 18h agoData breach 5 sources

Apple Reference Image: A New Approach for Verified Photography

Apple introduces Reference Image, hardware-backed verifiable photography on iPhone 18 Pro using sensor signing and Private Cloud Compute to counter AI-generated fakes.

Apple announced Reference Image, an opt-in camera mode debuting on the main sensor of iPhone 18 Pro and iPhone 18 Pro Max that produces securely timestamped, verifiable photographs. The design splits into two phases: a secure digital negative created by cryptographically signing pixel data at the sensor immediately after capture (preventing injection or tampering), then developing that negative into a reference image. Private Cloud Compute handles processing without exposing image contents to anyone, including Apple, and fraudulent reference images can be revoked without revealing the photographer's identity. Apple positions the system as stronger than C2PA-based approaches, which sign metadata after capture, are vulnerable to editing-chain compromise, and can tie images to a device or individual.

Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking

Google DeepMind launched Gemini 3.8 Live and 3.8 Live Extended Thinking speech models, topping Artificial Analysis' Speech-to-Speech Quality Index at 82.6.

Google DeepMind released Gemini 3.8 Live, built for cost-efficient near-real-time dialogue with visual grounding, and 3.8 Live Extended Thinking for high-complexity multi-step reasoning. Extended Thinking ranks #1 on Artificial Analysis' Speech to Speech Quality Index (82.6), scores 68.6% on τ-Voice, 35.1% on Sierra's τ-Voice-banking, and 97.7% on Big Bench Audio. The models detect and switch among 97 languages mid-conversation, execute background tool and API calls, and roll out in the Gemini API, AI Studio, Gemini Enterprise private preview, and Search Live. All generated audio is watermarked with SynthID.

Google DeepMindupdated · 1d agofirst · 1d agoModel release 3 sources10

WordPress Events Calendar Vulnerabilities Let Hackers Take Over 600,000 Websites

Two unauthenticated RCE flaws (CVSS 9.8) in The Events Calendar WordPress plugin threaten 600,000 sites; patched in 6.17.4.1.

Wordfence Argus disclosed two critical unauthenticated vulnerability chains in The Events Calendar WordPress plugin, tracked as CVE-2026-78006 and CVE-2026-78159, both scoring 9.8 CVSS. CVE-2026-78006 enables PHP object injection leading to RCE via a Lazy_Post_Collection gadget chain, while CVE-2026-78159 abuses Element_Classes::parse_array() to invoke wp_update_user() and reset the admin password. Exploitation works by injecting wp:legacy-widget Gutenberg markup through comments, using WordPress's moderation-preview hash to trigger the block before approval. StellarWP patched both flaws in version 6.17.4.1 after Wordfence's August 2026 disclosure.

GBHackersupdated · 18h agofirst · 1d agoVulnerability 3 sourcesCVE-2026-78006CVE-2026-78159