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Daily Edition · Page 5

THE DAILY INDEX

Technology, AI, software, security, crypto and business

ATTACKS & VULNERABILITIES

TLDR InfoSec

TLDR InfoSec

MALICIOUS ANDROID APPS ON GOOGLE PLAY DOWNLOADED 42M TIMES

Researchers from Zscaler report that an estimated 239 malicious apps were downloaded 42 million times from the Google Play Store between June 2024 and May 2025. Zscaler noted a 67% year-over-year growth in malware targeting mobile devices during this period. Zscaler has identified three malware families that had a notable impact on Android users: the Asta banking trojan, the Android Void Android TV backdoor, and the Xnotice RAT.

bleepingcomputer.com · 2 min

TLDR InfoSec

CREDENTIALS AND MISCONFIGURATIONS BEHIND MOST CLOUD BREACHES, SAYS AWS

The 'Building Cloud Trust" report by AWS and Vanson Bourne surveyed 2,800 organizations across 13 countries, revealing that about 80% experienced data breaches in the past year, with common attack vectors including vulnerability exploitation, compromised credentials, misconfigurations, and physical theft. Attackers are increasingly using stolen credentials through methods like VPN/VDI abuse, AI-enabled phishing, and legitimate tool exploitation, with a predicted shift toward targeting non-human identities protected by single-factor authentication. To combat these threats, security teams should focus on cloud security posture management, adopt phishing-resistant MFA, enforce least privilege access, and prioritize patching internet-facing infrastructure, while acknowledging human error as a primary cause.

hackread.com · 3 min

TLDR InfoSec

BREAKING INTO GITLAB: ATTACKING AND DEFENDING SELF-HOSTED CI/CD ENVIRONMENTS

Attackers can abuse globally scoped GitLab instance runners to execute arbitrary code and pivot into cloud environments if runners are configured with shell executors and attached IAM roles. Once a runner is compromised, the attackers can scrape build artifacts and environment files to steal secrets, SSH keys, or cloud credentials. Strategic defense centers on eliminating global runners, enforcing containerized job isolation, tightening IAM role scoping, and restricting access to the GitLab instance to reduce blast radius.

risk3sixty.com · 8 min

TLDR InfoSec

WINDOWS INTERNALS: SECURE CALLS - THE BRIDGE BETWEEN THE NT KERNEL AND SECURE KERNEL

Secure Calls are a mechanism in Windows that allows the “regular” (NT) kernel, residing in virtual trust level (VTL) 0, to communicate with the secure kernel (SK) operating in VTL 1. Secure calls are implemented as a hypercall with the hypervisor brokering the connection. In this post, the author reverse-engineers the secure call process and structure and introduces a tool for making secure calls with user-supplied arguments.

connormcgarr.github.io · 10 min

TLDR InfoSec

HOW THE F5 BREACH, CISA JOB CUTS, AND A GOVERNMENT SHUTDOWN ARE ERODING US CYBER READINESS

A China-linked breach of F5's BIG-IP software exposed source code and undisclosed vulnerabilities, creating a path for custom exploits against critical infrastructure and government networks. At the same time, significant workforce cuts at CISA and a federal shutdown are degrading incident response capacity, election protection efforts, and national coordination. Security teams should assume reduced federal support and prioritize proactive hardening, continuous monitoring, and supply chain risk management across high-impact edge and network devices.

cyberscoop.com · 6 min

TLDR InfoSec

CYBERSOCEVAL: BENCHMARKING LLMS CAPABILITIES FOR MALWARE ANALYSIS AND THREAT INTELLIGENCE REASONING

Researchers from Meta and CrowdStrike introduced the open-source CyberSOCEval benchmark to assess large language models (LLMs) on two critical SOC tasks: malware analysis and threat intelligence reasoning. Technical findings show that current models score only ~15-28% on malware analysis and 43-53% on threat-intelligence reasoning, highlighting significant gaps in interpreting JSON logs, mapping attack chains to MITRE ATT&CK, and reasoning about multi-hop adversaries. Security teams should be cautious about off-the-shelf LLM reliance, instead using these benchmarks to validate models, augment human analysts rather than replace them, and prioritize training with domain-specific cyber data.

ai.meta.com · 1 min

TLDR InfoSec

META IS EARNING A FORTUNE ON A DELUGE OF FRAUDULENT ADS

Internal documents from late last year predicted that Meta would earn about 10% of its overall annual revenue ($16 billion) from fraudulent ads. Meta's automated system only bans advertisers if it is 95% certain that the ads are malicious. Otherwise, the advertisers are simply charged a higher rate. Documents also show that users who click on these scams or malicious ads are more likely to see them in the future.

links.tldrnewsletter.com · 3 min

TLDR IndexPage 5