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A fake login page. A fake security scan. A fake productivity app. Apparently, pretending to be useful is still one of the easier ways into a machine. The rest of the week gets stranger: botnets borrowing AI, command traffic hiding in public infrastructure, malicious tools waiting before showing their real behavior, exposed systems getting scanned, and exploit windows shrinking again. Different tricks, same advantage: attackers keep finding places where trust is cheap and friction is low. That sets the tone. Here’s the full list of what surfaced this week. The threats change every week. Subscribe, and we’ll alert you when each new ThreatsDay Bulletin is out.

Cybersecurity researchers have disclosed details of a vulnerability in Amazon Kiro, an artificial intelligence (AI)-powered, agentic integrated development environment (IDE), that could facilitate data exfiltration via prompt injection and Kiro Powers. The security flaw, which does not have a CVE identifier, works against Kiro IDE 0.7.45 on Windows, according to Mindgard. The latest version of the IDE is 1.0.337. "The issue allowed attacker-controlled repository content to influence the Kiro agent and ultimately cause sensitive local information to be transmitted to an external endpoint," Chief Marketing Officer Fergal Glynn  said in a report shared with The Hacker News. Kiro Powers goes beyond skills by bundling Model Context Protocol (MCP) server configurations, steering files ("POWER.md"), hooks, and contextual knowledge. The steering file is like an "onboarding manual" that provides persistent context and tells the AI agent what MCP tools are...

Security teams have spent years trying to detect threats faster. AI is changing the harder part: how much time defenders have left to act. Advanced AI models can now help attackers discover vulnerabilities, generate exploit code, and move through weaknesses faster than traditional security processes were built to handle. The challenge is no longer just finding another vulnerability or generating another alert. It is knowing which exposures matter, what an attacker can reach, and which issues need to be fixed first. That is the focus of next week's webinar, How to Build AI Threat Readiness Across Your Security Operations , featuring an expert from Wiz. The session will show how security teams can improve visibility, prioritize real risk, and shorten the path from detection to remediation. Most security teams already have plenty of data. They have vulnerability findings, cloud alerts, identity signals, application telemetry, and threat detections. The harder problem is conne...

The Australian Federal Police (AFP) has charged two Western Australian men with a combined total of 14 offences over their alleged role in TeamPCP , the cybercrime group behind the March 2026 compromise of the open-source security scanners Trivy and Checkmarx KICS and the AI gateway LiteLLM. Louis Michael Gaebler , 23, and Ruben Ian Thomson , 21, appeared in Perth Magistrates Court on August 27, 2026, a day after the AFP and the Western Australia Police Force (WAPF) executed search warrants at properties in Cottesloe, Hamilton Hill, and Mandurah and seized electronic devices for forensic analysis. Police allege the two men were principal participants in the syndicate and received payments in cryptocurrency, the value of which is still under investigation. The Federal Bureau of Investigation (FBI) said in a July 2 advisory that organizations impacted by the campaign should treat exfiltrated data and credentials as a persistent risk, since affiliated threat actors are "likely...

AI is officially mainstream in security operations. According to Prophet Security's State of AI in Security Operations 2026 report (produced from ViB’s survey of 250+ cybersecurity pros), 40% of security teams now use AI daily. Another 56% are currently testing it out, and only 4% have no plans to adopt it. For the teams already using AI, what is actually changing? Here are the ten biggest takeaways from the report. 1. Security teams are drowning in alerts The average security team gets about 100 alerts every day, but larger companies often deal with close to 1,000. In fact, over a quarter of teams face more than 500 alerts daily. Unfortunately, team sizes haven't kept up with the workload. While some massive organizations have over 100 analysts, many are running on skeleton crews of fewer than ten people. Because of this, it takes an average of 75 minutes to thoroughly investigate a single alert, and alerts often sit untouched for nearly an hour before anyone even loo...