42
55
30
30
30
45
Kimwolf v7 Hides DDoS Traffic Behind Chrome Fingerprints and Ethereum
Unit 42 details Kimwolf v7, an Android TV botnet upgrade using HTTP/2 Chrome-fingerprint DDoS floods and Ethereum ENS-based C2 across 1.8M+ infected devices.
Palo Alto Networks Unit 42 identified Kimwolf v7 on February 3, 2026, an upgrade to an Android TV botnet active since August 2025 and linked to the AISURU botnet, which has infected over 1.8 million devices. The new version adds an HTTP/2-based DDoS flood that mimics full Chrome browser fingerprints, consolidates 43 attack commands into 15 methods covering layers 3-7, and resolves C2 addresses via Ethereum Name Service using five hard-coded public blockchain RPC endpoints, backed by a Tor hidden service and a local proxy on 127.0.0.1:23075. It spreads through residential proxies to Android TV boxes with ADB enabled on port 5555 and masquerades as netd_service. The botnet is associated with the record 31.4 Tbps DDoS attack in November 2025.
55
30
57
30
30
60
42
30
30
35
30
42
55
Cisco email security boxes can be rooted by... an email
Attackers actively exploit critical Cisco Secure Email Gateway flaw CVE-2026-76461, turning a malicious email into unauthenticated root access.
Cisco Secure Email Gateway appliances are being actively exploited via CVE-2026-76461, a CVSS 9.8 AsyncOS flaw requiring no authentication—a crafted email can yield root command execution with no workarounds. Cisco's PSIRT became aware of active exploitation in September; some Secure Email Cloud customers showed indicators of compromise and all cloud devices were upgraded to AsyncOS 16.5.0-780. The bug is in CISA's KEV catalog with federal agencies ordered to remediate by September 17; Shadowserver counted 400+ exposed appliances. Fixes are available in AsyncOS 15.5.5-014, 16.0.4-302, and 16.5.0-780, and attackers with root may tamper with logs to hide activity.
92
Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models
Audits of 10 classifiers on BRFSS show target leakage, not model class, drives the reported 0.89 AUROC in survey-based cardiovascular screening.
The study benchmarks ten model classes, including glass-box and tabular foundation models, for prevalent myocardial infarction on 442,067 respondents of the 2022 BRFSS across five feature tiers of decreasing leakage risk. Removing two post-diagnostic features costs every model 0.049-0.051 AUROC and collapses performance into a 0.0045-wide band, and the explainable boosting machine matches all alternatives within 0.005 while scoring roughly 104x faster than the strongest foundation model. Frozen models transport within 0.002 AUROC to 2023 data; the authors conclude evaluation practice and feature sets, not model capacity, are the binding constraint.
28
30
55
57
30
45
55
45
55
30
55
50
50
60
SonicWall's SMA1000 boxes under active attack again
SonicWall warns attackers are chaining two SMA1000 zero-days, a CVSS 10.0 SSRF and command injection, to compromise VPN gateways.
SonicWall says attackers are actively exploiting two chained zero-days in SMA 1000 appliances: CVE-2026-83548, a pre-authentication SSRF rated CVSS 10.0, and CVE-2026-83549, a post-authentication OS command injection (CVSS 7.8) in the Appliance Management Console. Hotfixes are available for SMA 6210, 7210, and 8200v appliances with no workarounds; SonicWall recommends reimaging compromised devices, rotating passwords, and resetting TOTP tokens. NHS England assesses further exploitation as almost certain, following a similar exploited pair in July when CISA added CVE-2026-15409 to its KEV catalog.
78
The best human hacking team still out-solved the best AI team
Hack The Box 2026 benchmark data shows AI agents helped top teams but human-only teams still solved everything while best AI teams stalled at 32 of 36 challenges.
At the 2026 Global Cyber Skills Benchmark (Project Nightfall) run by Hack The Box, 93 designated AI agent accounts across 54 teams held 2.7% of registered accounts but produced 4.2% of submitted flags and 4.6% of awarded points, and appeared in 17 of the Top 25 finishers. Median solve time dropped from 26 hours in 2024 to 13.8 hours in 2026, though the data cannot attribute the change to AI. At the November 2025 NeuroGrid CTF, AI-augmented teams solved challenges 3.2x faster overall but only 1.69x among the Top 5%, and the only team to complete all 36 challenges was human, while the best AI team stopped at 32.
35
35
60
30
30