The blog post details a sophisticated, low-and-slow password spray attack targeting Microsoft 365 accounts. Instead of rapid, easily detected attempts, the attackers used a large botnet to try a small number of common passwords against a massive list of usernames, cycling through different IP addresses and spreading attempts over weeks or months. This approach evaded typical rate-limiting security measures. The attack was discovered through unusual authentication patterns showing a high failure rate with specific common passwords across many accounts. The post emphasizes the importance of strong, unique passwords, multi-factor authentication, and robust monitoring to detect such subtle attacks.
SubImage, a Y Combinator W25 startup, launched a tool that allows you to see your cloud infrastructure through the eyes of an attacker. It automatically scans public-facing assets, identifying vulnerabilities and potential attack paths without requiring any credentials or agents. This external perspective helps companies understand their real attack surface and prioritize remediation efforts, focusing on the weaknesses most likely to be exploited. The goal is to bridge the gap between security teams' internal view and the reality of how attackers perceive their infrastructure, leading to a more proactive and effective security posture.
The Hacker News comments section for SubImage expresses cautious interest and skepticism. Several commenters question the practical value proposition, particularly given existing open-source tools like Amass and Shodan. Some doubt the ability to accurately replicate attacker reconnaissance, citing the limitations of automated tools compared to a dedicated human adversary. Others suggest the service might be more useful for smaller companies lacking dedicated security teams. The pricing model also draws criticism, with users expressing concern about per-asset costs potentially escalating quickly. A few commenters offer constructive feedback, suggesting integrations or features that would enhance the product, such as incorporating attack path analysis. Overall, the reception is lukewarm, with many awaiting further details and practical demonstrations of SubImage's capabilities before passing judgment.
Zach Holman's post "Nontraditional Red Teams" advocates for expanding the traditional security-focused red team concept to other areas of a company. He argues that dedicated teams, separate from existing product or engineering groups, can provide valuable insights by simulating real-world user behavior and identifying potential problems with products, marketing campaigns, and company policies. These "red teams" can act as devil's advocates, challenging assumptions and uncovering blind spots that internal teams might miss, ultimately leading to more robust and user-centric products and strategies. Holman emphasizes the importance of empowering these teams to operate independently and providing them the freedom to explore unconventional approaches.
HN commenters largely agree with the author's premise that "red teams" are often misused, focusing on compliance and shallow vulnerability discovery rather than true adversarial emulation. Several highlighted the importance of a strong security culture and open communication for red teaming to be effective. Some commenters shared anecdotes about ineffective red team exercises, emphasizing the need for clear objectives and buy-in from leadership. Others discussed the difficulty in finding skilled red teamers who can think like real attackers. A compelling point raised was the importance of "purple teaming" – combining red and blue teams for collaborative learning and improvement, rather than treating it as a purely adversarial exercise. Finally, some argued that the term "red team" has become diluted and overused, losing its original meaning.
Garak is an open-source tool developed by NVIDIA for identifying vulnerabilities in large language models (LLMs). It probes LLMs with a diverse range of prompts designed to elicit problematic behaviors, such as generating harmful content, leaking private information, or being easily jailbroken. These prompts cover various attack categories like prompt injection, data poisoning, and bias detection. Garak aims to help developers understand and mitigate these risks, ultimately making LLMs safer and more robust. It provides a framework for automated testing and evaluation, allowing researchers and developers to proactively assess LLM security and identify potential weaknesses before deployment.
Hacker News commenters discuss Garak's potential usefulness while acknowledging its limitations. Some express skepticism about the effectiveness of LLMs scanning other LLMs for vulnerabilities, citing the inherent difficulty in defining and detecting such issues. Others see value in Garak as a tool for identifying potential problems, especially in specific domains like prompt injection. The limited scope of the current version is noted, with users hoping for future expansion to cover more vulnerabilities and models. Several commenters highlight the rapid pace of development in this space, suggesting Garak represents an early but important step towards more robust LLM security. The "arms race" analogy between developing secure LLMs and finding vulnerabilities is also mentioned.
Summary of Comments ( 15 )
https://news.ycombinator.com/item?id=43512944
HN users discussed the practicality of the password spraying attack described in the article, questioning its effectiveness against organizations with robust security measures like rate limiting, account lockouts, and multi-factor authentication. Some commenters highlighted the importance of educating users about password hygiene and the need for strong, unique passwords. Others pointed out that the attack's "slow and steady" nature, while evasive, could be detected through careful log analysis and anomaly detection systems. The discussion also touched on the ethical implications of penetration testing and the responsibility of security researchers to disclose vulnerabilities responsibly. Several users shared personal anecdotes about encountering similar attacks and the challenges in mitigating them. Finally, some commenters expressed skepticism about the novelty of the attack, suggesting that it was a well-known technique and not a groundbreaking discovery.
The Hacker News post titled "Unmasking a slow and steady password spray attack" (linking to a Petra Security Substack article) generated a moderate number of comments, primarily focusing on the technical aspects and implications of the described attack.
Several commenters discussed the effectiveness and practicality of the described attack method. Some expressed skepticism about its widespread applicability, highlighting that the specific vulnerability exploited (allowing unlimited login attempts without lockout) is becoming increasingly rare due to improved security practices. They pointed out that many modern systems implement robust rate-limiting and account lockout mechanisms, making such slow and steady password spraying significantly less effective.
Others acknowledged the potential danger, particularly in environments where security practices are less mature. They noted that legacy systems or organizations with inadequate security configurations could still be vulnerable to this type of attack. There was some debate around the trade-offs between security and usability, with some suggesting that overly aggressive lockout policies can negatively impact legitimate users.
A few commenters delved into the technical details of the attack, discussing methods for detection and mitigation. They mentioned techniques like analyzing login logs for suspicious patterns, implementing multi-factor authentication, and using honeypot accounts to trap attackers. The use of threat intelligence feeds to identify commonly used passwords and block them proactively was also suggested.
Some comments focused on the attacker's persistence and methodology. The slow and steady nature of the attack, designed to evade detection, was highlighted as a key characteristic. The discussion also touched upon the resources and infrastructure required by the attackers to execute such campaigns, suggesting that they might be more sophisticated than initially assumed.
Finally, there was a brief discussion about the broader implications of this type of attack, including the potential damage to reputation and financial losses for affected organizations. The importance of proactive security measures and ongoing vigilance was emphasized as a key takeaway.