AI & Security
University of Illinois Urbana-Champaign (UIUC) computer scientists report that OpenAI's GPT-4 large language model can autonomously exploit vulnerabilities in real-world systems when given a CVE advisory describing the flaw. GPT-4 successfully exploited 87% of 15 tested one-day vulnerabilities, including ones categorized as critical severity, compared to 0% for other models and scanners tested. While the research is an important step in agent-like capabilities of AI solutions, 15 one-day vulnerabilities are by no means a proof that GPT-4 (or other models) will consistently identify and exploit such vulnerabilities. More research in this area is needed.
OpenAI has open-sourced a trio of security bots they built for internal use. The Incident Response Slackbot automatically chats with users who have been part of an incident alert to gather context. The SDLC Slackbot decides if a project merits a security review based on risk factors. Finally, the Triage Slackbot routes inbound requests in Slack to the appropriate sub-teams. These bots showcase practical applications of AI to streamline security workflows.
Darktrace's State of AI Cybersecurity Report, based on a survey of 1,800 security practitioners, reveals that AI-powered threats are a major concern for 74% of organizations. 89% believe these threats will remain a significant challenge beyond the next two years. AI can impact every stage of the attack lifecycle, requiring defenders to prepare for faster, more unique threats. Organizations are also concerned about internal risks like leakage of sensitive information due to employee use of generative AI tools. While 71% have taken steps to reduce risks associated with AI adoption, practitioners see a gap compared to executives' perceptions.
Leadership Insights
Geoff Belknap, CISO and VP of Engineering at LinkedIn, joins this Microsoft podcast to discuss key cybersecurity topics. Belknap previously led security efforts at Slack, safeguarding both physical and digital assets. They explore the potential impact of AI on the cybersecurity talent landscape and emphasize the importance of work-life balance in high-stress security roles. Belknap also highlights the value of diverse perspectives in building strong security programs.
Chris Betz, CISO of AWS and former security leader at companies like Apple, Microsoft, and Capital One, discusses the qualities that make a successful CISO. Betz emphasizes the importance of establishing a culture of security, hiring for diversity, and mentoring the next generation of security leaders. As a former customer, Betz brings a unique perspective to answering customer security questions and building their confidence in AWS.
Anton Chuvakin discusses the challenges of transforming traditional security operations centers (SOCs) to a modern, automated model. Many organizations are reluctant to embrace the required scale of change, preferring incremental improvements instead. Chuvakin suggests that the DNA of a SOC largely determines its fate, with traditional SOCs struggling to scale with evolving threats and assets.
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Career Development
Reddit users discuss their most impactful cybersecurity training courses. Recommendations span SOC and SecOps roles, with offerings from networkdefense.io, Active Countermeasures, and Antisyphon. SANS courses, particularly SANS 503, GCIA, and FOR610, are praised for advancing technical skills in network monitoring and DFIR. The OSCP certification is highlighted for helping blue teamers understand offensive techniques. SANS LDR514 is recommended for developing strategic planning and leadership skills.
David Meece, a cybersecurity professional, shares 7 free pentesting projects, one for each networking layer, to help build a strong personal brand in cybersecurity. The projects utilize various tools such as Nmap, Wireshark, Ettercap, and Scapy to perform tasks like rogue device detection, MITM attacks, TCP spoofing, session hijacking, and brute forcing services. Completing these projects can enhance practical skills and showcase expertise to potential employers.
Berkay Soylu provides an inside look at the daily life of a SOC analyst, the frontline defenders against cyberattacks. SOC analysts are responsible for threat monitoring, incident response, and forensics. The article explores the different tiers of SOC analysts, the technical skills required, and the tools they use like SIEM, SOAR, and EDR. Being a SOC analyst has both advantages and challenges in the dynamic world of cybersecurity.
Vendor Spotlight
Reuters reports that IBM is close to finalizing a deal to acquire HashiCorp, a cloud software provider, according to an unnamed source. The potential acquisition aligns with IBM CEO Arvind Krishna's strategy of focusing on acquisitions to expand the company's cloud offerings. HashiCorp's software enables customers to set up and manage their infrastructures on the cloud, and the company has seen strong revenue growth, surpassing analysts' estimates.
Dropzone AI, a Seattle-based startup, announced a $16.85M Series A funding round led by Theory Ventures, with participation from existing investors and cybersecurity leaders. The company's AI analysts work alongside human analysts to investigate security alerts 24/7, using LLMs to replicate elite analyst techniques. Dropzone AI's solution can be deployed in 30 minutes without requiring playbooks, code, or chat prompts, enabling SecOps teams to focus on high-priority threats and amplify their output.
Anvilogic, founded in 2019, announced a $45 million Series C funding round led by Evolution Equity Partners, bringing its total funding to $85 million. The company's multi-data platform SIEM helps SOCs adopt modern security analytics that scale across diverse data lakes without replacing their existing SIEM, reducing costs and risk. Anvilogic plans to use the funds to expand its generativeAI features across the entire SOC lifecycle and scale up go-to-market efforts.
Tools
Security Orchestration, Automation, and Response platform for automating security workflows.
Comprehensive identity and access management suite for risk and compliance management.
A Python-based DNS subdomain scanner using wordlists.
Community Highlights
Chris Rohlf analyzes a research paper claiming LLM agents can autonomously exploit one-day vulnerabilities and disagrees with its conclusions. The researchers built a small dataset of 15 open-source vulnerabilities, mostly consisting of XSS, CSRF, SQLi, and RCE. Rohlf found public exploits for 11 out of the 15 CVEs, suggesting GPT-4 is demonstrating its value in automation by joining existing content and code snippets rather than an emergent capability to analyze and exploit vulnerabilities. The lack of transparency and evidence in the paper is less than convincing and can reinforce a false narrative about AI models being dangerous for cybersecurity.
Nahamsec, a well-known bug bounty hunter, shares three different methods to escalate a certain vulnerability type in a recent video. He later demonstrates how he used a similar technique to convert a $500 bug into a $30,000+ payout (before dupe split) at a HackerOne live hacking event. This showcases the potential for skilled researchers to significantly increase the businessImpact and rewards of their findings through creative thinking and persistence.
Nicholas Starke demonstrates how to manually modify a .NET application's binary to introduce a backdoor that sends user login credentials to a remote server. The process involves disassembling the application with ildasm, injecting custom code to capture and exfiltrate the credentials, and reassembling the modified code using ilasm. Setting up a test environment and using decompilers like software DotPeek to analyze the binary are key steps. The backdoor is triggered on successful logins, sending the credentials via HTTP POST to a hardcoded attackType C2 server.
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Nikoloz