IntelFreed Cybersecurity Intelligence Weather Report

LATEST

Aggregated cybersecurity reporting, advisories and research. 236 matching records.
AUTO-POLL // 2026-10-03 00:20 UTC
CYBER INTEL TEMPERATURE
TODAY'S AGGREGATED INTELLIGENCE
NO DATA
NO INTELLIGENCE AGGREGATED TODAY
7-DAY C.I.T. REPORT
CYBER CONDITIONS // DAILY C.I.T. READINGS
TODAY → 6 DAYS AGO
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COOL // 46 ARTICLES
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Oct 1

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WARM // 59 ARTICLES
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ELEVATED // 15 ARTICLES
RESET
2026-08-07 12:00 UTC
Vendor Research

Agentic AI for cyber defenders: What security teams built at Black Hat USA 2026

Tenable Blog · Nick Hayes · indexed 2026-08-15 18:55 UTC

Agentic AI armed attackers first, but it also put real building power in defenders’ hands. Here’s what security practitioners built in two days at Black Hat USA 2026, and how the CyberAgents Exchange keeps that work compounding long after the event.Key takeawaysBuilding defensive cybersecurity tooling no longer requires a developer. Agentic tooling drove the cost of finding and exploiting a vulnerability down to 1990s levels; it also removed the engineering barrier that kept defenders from buil…

AI SecurityCloud SecurityMicrosoftThreat ActorsVulnerabilities
P0
2026-08-07 10:09 UTC
Security Journalism

AI-Assisted HTTP Terminator Finds Novel HTTP Desync Techniques and Apache Zero-Day

The Hacker News · info@thehackernews.com (The Hacker News) · indexed 2026-08-15 14:33 UTC

PortSwigger says HTTP Terminator, an artificial intelligence (AI)-assisted research system built by James Kettle, generated and proved new HTTP desynchronization techniques after exploring 30,000 candidate desync vectors. PortSwigger said a separate human-guided discovery cascade also exposed a zero-day in Apache Traffic Server. Kettle said HTTP Terminator tested 30,000 websites where

AI SecurityVulnerabilities
P25
2026-08-05 23:35 UTC
Security Journalism

AI Sends Global Crime Syndicates Into Fraud Nirvana

Dark Reading · Tara Seals · indexed 2026-08-15 18:55 UTC

Organized crime is convincingly scamming at scale, making billions thanks to AI-enabled voice cloning, deepfake real-time video overlays, LLM-driven persona management, and automated translation.

AI SecurityCybercrime
P0
2026-08-03 10:00 UTC
Vendor Research

30 days with Claude Mythos Preview: How Tenable adapted our security program, and why yours is next

Tenable Blog · Blake Kizer · indexed 2026-08-15 18:55 UTC

Tenable spent 30 days running frontier AI models against our own code. It didn’t just find bugs — it proved they’re real, with reproducible exploits. That fundamentally changes code security from ranking potential code defects to a much higher signal focused on the findings that matter. Read on to learn how it reshaped our security team's work, what it cost, and why your program is next.Key takeaways:Now code security starts with proof, not suspicions. Frontier AI instantly builds working explo…

AI SecurityCloud SecuritySecurity Research
P0
2026-07-31 11:53 UTC
Vendor Research

Rapid7 at Black Hat USA 2026: See preemptive security in action

Rapid7 · Emma Burdett · indexed 2026-08-15 18:55 UTC

Black Hat USA returns to Mandalay Bay in Las Vegas this August, bringing together security practitioners, researchers, and leaders from around the world. Rapid7 will be there in the Business Hall, with new capabilities, live demonstrations, expert-led sessions, and two days of activities at the Border Grill.This year, our focus is preemptive security: helping security teams anticipate credible risk, respond at machine speed, and maintain an accurate view of their security and compliance posture…

AI SecurityCloud SecurityDFIRSecurity ResearchThreat IntelligenceVulnerabilities
P0
2026-07-30 15:14 UTC
Vendor Research

Rapid7 named a Leader in the IDC MarketScape: Worldwide MDR Service for Midmarket 2026 Vendor Assessment

Rapid7 · Rapid7 · indexed 2026-08-15 18:55 UTC

IDC has named Rapid7 a Leader in the 2026 Worldwide Managed Detection and Response Service for Midmarket 2026 Vendor Assessment (Doc #US52992326, July 2026). We believe this recognition and research highlights where MDR is heading.Many security programs are still built around a reactive sequence of detect, triage, and respond, but the timelines surrounding modern attacks have changed too quickly for that model to hold up on its own. Time-to-exploit has dropped from two years to 22 hours, while …

AI SecurityDFIRThreat IntelligenceVulnerabilities
P0
2026-07-30 14:29 UTC
Vendor Research

Metasploit Framework 6.5 Released

Rapid7 · The Metasploit Team · indexed 2026-08-15 18:55 UTC

Today we’re proud to announce that Metasploit Framework version 6.5 has been released. Over the past two years, with the help of countless contributors, we’ve added 422 new modules along with a whole slew of new features.Malleable C2 Profiles for HTTPOne of the latest and most requested features is support for Malleable C2 profiles across all current Meterpreter payloads. This feature enables users to load a standard profile into Meterpreter and change the shape of its HTTP(S) traffic. All Mete…

AI SecurityLinuxMicrosoftVulnerabilities
P0
2026-07-30 14:00 UTC
Vendor Research

Batten Down Your Packages: Mitigation Guidance for Supply Chain Compromise

Google Threat Intelligence / Mandiant · Google Threat Intelligence Group · indexed 2026-08-15 18:55 UTC

Written by: Kelli Vanderlee, Stuart Carrera For years, the cybersecurity industry's understanding of software supply chain compromise has been anchored by a few watershed events, including Russian cyber espionage actor ICE RELIC’s (formerly known as APT29) 2020 compromise of SolarWinds and North Korean cyber espionage actor UNC4736's 2023 compromise of 3CX. However, Google Threat Intelligence Group (GTIG) has been tracking growth in threat activity targeting open source software repositories to…

AI SecurityAppleAPT / Nation-StateCybercrimeData BreachesDFIRLinuxMalwareRansomwareThreat ActorsThreat Intelligence
P15
2026-07-28 13:00 UTC
Vendor Research

The Next Evolution of MDR: Preemptive Defense and Agentic Investigation

Rapid7 · Mikayla Wyman · indexed 2026-08-15 18:55 UTC

For years, security operations followed a familiar sequence: detect suspicious activity, investigate what happened, and respond before it caused significant harm. That model developed in a threat landscape where defenders had considerably more time to establish the facts and decide what to do next. In 2019, the average data breach took 206 days to identify and another 73 days to contain, creating a total breach lifecycle of 279 days.As the time between initial access and attacker movement conti…

AI SecurityCybercrimeData BreachesDFIRMicrosoftThreat IntelligenceVulnerabilities
P0
2026-07-16 14:00 UTC
Vendor Research

Demystifying AI Exploits: A Blueprint for AI-Assisted Vulnerability Management

Google Threat Intelligence / Mandiant · Mandiant · indexed 2026-08-15 18:55 UTC

Written by: Jules Czarniak Introduction As highlighted in the Mandiant M-Trends 2026 report, the mean time-to-exploit (TTE) has dropped to -7 days, meaning vulnerabilities are often exploited a week before a patch even exists. To keep pace, many security teams are exploring how to integrate large language model (LLM) agents into their codebases, development environments and continuous integration and continuous delivery (CI/CD) pipelines for automated vulnerability discovery and remediation. Ho…

AI SecurityAppleMicrosoftThreat ActorsThreat IntelligenceVulnerabilities
P10
2026-07-15 14:00 UTC
Vendor Research

The Risk of Exposed Cloud Functions and How to Harden

Google Threat Intelligence / Mandiant · Mandiant · indexed 2026-08-15 18:55 UTC

Written by: Corné de Jong Introduction Mandiant security assessments frequently identify publicly exposed serverless applications that lack authentication, often as a result of specific business requirements. Serverless deployments typically run custom-developed code that incorporates third-party packages, making them targets for a wide range of application-level attacks, including: Local and Remote File Inclusion (LFI/RFI) Command Injection Successful exploitation of these vulnerabilities can …

AI SecurityAppleCloud SecurityMalwareThreat ActorsVulnerabilities
P15
2026-07-15 10:00 UTC
Vendor Research

TuxBot v3: Inside an IoT Botnet Framework With LLM-Assisted Development

Palo Alto Networks Unit 42 · Chris Navarrete, Doel Santos and Asher Davila · indexed 2026-08-15 18:55 UTC

TuxBot v3 Evolution, an IoT botnet framework built with LLMs. Read our analysis of its cross-compiled binaries, C2 architecture and bugs. The post TuxBot v3: Inside an IoT Botnet Framework With LLM-Assisted Development appeared first on Unit 42.

AI SecurityMalware
P0
2026-07-14 19:22 UTC
Independent Research

Microsoft Patches a Record 570 Security Flaws

Krebs on Security · BrianKrebs · indexed 2026-08-15 14:33 UTC

Microsoft Corp. today released software updates to plug at least 570 security holes in its Windows operating systems and other software, almost triple the number of vulnerabilities the software giant fixed in its record-smashing Patch Tuesday release last month. Microsoft attributed the burgeoning patch counts to vulnerability discoveries aided by artificial intelligence.

AI SecurityCloud SecurityMicrosoftVulnerabilities
P0
2026-06-18 17:59 UTC
Vendor Research

Build your own vulnerability harness

Cloudflare Security · Dan Jones · indexed 2026-08-15 18:58 UTC

We break down the technical architecture behind our multi-stage vulnerability discovery harness and automated triage loop. Learn how we manage state controls, squash false positives through adversarial review, and route around LLM context limits.

AI SecurityVulnerabilities
P0
2026-06-15 14:00 UTC
Vendor Research

Public and Private Medical Community Targeted by China-Nexus Threat Actor Pursuing Artificial Intelligence, Cyber, Medical, and National Defense Research

Google Threat Intelligence / Mandiant · Google Threat Intelligence Group · indexed 2026-08-15 18:55 UTC

Written by: Patrick Whitsell, John McGuiness, Muhammad Umair Google Threat Intelligence Group (GTIG) has identified a sophisticated campaign attributed to UNC6508, a People's Republic of China (PRC)-nexus threat actor, targeting institutions in the North American academic, medical, and military research community. While remaining undetected for over a year, the threat actor compromised externally facing web applications, deployed bespoke malware, pivoted to sensitive internal systems, and abuse…

AI SecurityCloud SecurityDFIRMalwareMicrosoftPhishingThreat ActorsThreat Intelligence
P0
2026-06-05 19:19 UTC
Vendor Research

Buffer Over-read when receiving improperly sized ICMPv6 packets

AWS Security Bulletins · aws@amazon.com · indexed 2026-08-15 18:58 UTC

Bulletin ID: AWS-2025-023 Scope: AWS Content Type: Important (requires attention) Publication Date: 2025/10/10 10:15 PM PDT We identified the following CVEs: CVE-2025-11616 - A Buffer Over-read when receiving ICMPv6 packets of certain message types which are smaller than the expected size. CVE-2025-11617 - A Buffer Over-read when receiving a IPv6 packet with incorrect payload lengths in the packet header. CVE-2025-11618 - An invalid pointer dereference when receiving a UDP/IPv6 packet with an i…

AI SecurityCloud SecurityVulnerabilitiesCVE-2025-11616CVE-2025-11617CVE-2025-11618
P5
2026-06-05 19:19 UTC
Vendor Research

Amazon Q Developer and Kiro – Prompt Injection Issues in Kiro and Q IDE plugins

AWS Security Bulletins · aws@amazon.com · indexed 2026-08-15 18:58 UTC

Bulletin ID: AWS-2025-019 Scope: AWS Content Type: Important (requires attention) Publication Date: 2025/10/07 01:30 PM PDT Description: We are aware of blog posts by Embrace The Red (“The Month of AI Bugs”) describing prompt injection issues in Amazon Q Developer and Kiro. Amazon Q Developer: Remote Code Execution with Prompt Injection” and “Amazon Q Developer for VS Code Vulnerable to Invisible Prompt Injection. These issues require an open chat session and intentional access to a malicious f…

AI SecurityCloud SecurityVulnerabilities
P15
2026-05-18 06:00 UTC
Vendor Research

Project Glasswing: what Mythos showed us

Cloudflare Security · Grant Bourzikas · indexed 2026-08-15 18:58 UTC

In recent weeks, we pointed Mythos and other security-focused LLMs at live code across critical parts of our infrastructure. We share what we observed, the models’ strengths and weaknesses, and what the work around them needs to look like before any of it can scale.

AI Security
P0
2026-05-11 14:00 UTC
Vendor Research

GTIG AI Threat Tracker: Adversaries Leverage AI for Vulnerability Exploitation, Augmented Operations, and Initial Access

Google Threat Intelligence / Mandiant · Google Threat Intelligence Group · indexed 2026-08-15 18:55 UTC

Executive Summary Since our February 2026 report on AI-related threat activity, Google Threat Intelligence Group (GTIG) has continued to track a maturing transition from nascent AI-enabled operations to the industrial-scale application of generative models within adversarial workflows. This report, based on insights derived from Mandiant incident response engagements, Gemini, and GTIG’s proactive research, highlights the dual nature of the current threat environment where AI serves as both a so…

AI SecurityAppleAPT / Nation-StateCloud SecurityDFIRMalwareMicrosoftNetwork SecurityRansomwareSecurity ResearchThreat ActorsThreat IntelligenceVulnerabilities
P60
2026-04-23 21:38 UTC
Vendor Research

AI threats in the wild: The current state of prompt injections on the web

Google Online Security Blog · Kimberly Samra · indexed 2026-08-15 14:33 UTC

Posted by Thomas Brunner, Yu-Han Liu, Moni PandeAt Google, our Threat Intelligence teams are dedicated to staying ahead of real-world adversarial activity, proactively monitoring emerging threats before they can impact users. Right now, Indirect Prompt Injection (IPI) is a top priority for the security community, anticipating it as a primary attack vector for adversaries to target and compromise AI agents. But while the danger of IPI is widely discussed, are threat actors actually exploiting th…

AI SecurityMicrosoftSecurity ResearchThreat ActorsThreat Intelligence
P20
2026-04-16 14:00 UTC
Vendor Research

Defending Your Enterprise When AI Models Can Find Vulnerabilities Faster Than Ever

Google Threat Intelligence / Mandiant · Francis deSouza · indexed 2026-08-15 18:55 UTC

Introduction Advances in AI model-powered exploitation have demonstrated that general-purpose AI models can excel at vulnerability discovery, even without being purpose-built for the task. Eventually, capabilities such as these will be integrated directly into the development cycle, and code will be more difficult to exploit than ever; however, this transition creates a critical window of risk. As we harden existing software with AI, threat actors will use it to discover and exploit novel vulne…

AI SecurityAPT / Nation-StateCloud SecurityDFIRMicrosoftRansomwareThreat ActorsVulnerabilities
P60
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