Aggregator
CVE-2020-27932 | Apple iOS/iPadOS up to 14.1 Kernel type confusion (HT211929)
CVE-2020-27930 | Apple macOS up to 10.15.7 FontParser memory corruption (HT211947)
CVE-2020-27932 | Apple macOS up to 10.15.7 Kernel type confusion (HT211947)
CVE-2020-27950 | Apple macOS up to 10.15.7 Kernel initialization (HT211947)
CVE-2020-27930 | Apple watchOS up to 5.3.8/6.2.8/7.0.3 FontParser memory corruption (HT211928)
CVE-2020-27932 | Apple watchOS up to 5.3.8/6.2.8/7.0.3 Kernel type confusion (HT211928)
CVE-2020-9934 | Apple iOS/iPadOS up to 13.5.1 CoreFoundation information disclosure (HT211288)
CVE-2020-9934 | Apple macOS up to 10.15.5 CoreFoundation information disclosure (HT211289)
CVE-2020-9907 | Apple tvOS up to 13.4.7 AVEVideoEncoder memory corruption (HT211290)
Alibaba’s Qwen 2.5-Max: The AI Marathoner Outpacing DeepSeek and Catching OpenAI’s Shadow
Discover how Alibaba's Qwen 2.5-Max AI model with Mixture-of-Experts architecture outperforms DeepSeek V3 in key benchmarks, challenges OpenAI, and revolutionizes healthcare, finance, and content creation. Explore technical breakthroughs and industry implications.
The post Alibaba’s Qwen 2.5-Max: The AI Marathoner Outpacing DeepSeek and Catching OpenAI’s Shadow appeared first on Security Boulevard.
Researchers Uncover Lazarus Group Admin Layer for C2 Servers
ClatsCracker: A Versatile Python Password-Cracking Tool Supporting Over 15 Hash Algorithms
U.S. CISA adds Apple products’ flaw to its Known Exploited Vulnerabilities catalog
RansomHub
A Comprehensive Guide to Healthcare Cybersecurity
The healthcare industry faces a unique and urgent challenge in the ever-evolving world of cyber threats. As businesses across sectors fortify their digital defenses, healthcare stands out as a critical target due to its reliance on interconnected devices and vast repositories of sensitive patient data. Safeguarding healthcare’s digital infrastructure, including electronic health records, networked medical … Continued
DEF CON 32 – Tough Adversary Don’t Blame Sun Tzu
Author/Presenter: Gregory Carpenter, DrPH
Our sincere appreciation to DEF CON, and the Authors/Presenters for publishing their erudite DEF CON 32 content. Originating from the conference’s events located at the Las Vegas Convention Center; and via the organizations YouTube channel.
The post DEF CON 32 – Tough Adversary Don’t Blame Sun Tzu appeared first on Security Boulevard.
Introducing WAF Rule Tester: Test with Confidence, Deploy without Fear | Impart Security
Security teams can now validate WAF rules before they hit production, thanks to Impart Security's new WAF Rule Tester. No more crossing fingers and hoping for the best when deploying new rules.
The Old Way: Hope-Driven Security
Traditionally, testing WAF rules has been a nerve-wracking experience:
- Push rules to production in monitor mode
- Wait anxiously for days to spot issues
- Hope nothing breaks while you wait
- Struggle to simulate sophisticated attacks and edge cases
- Cross your fingers and promote to blocking mode
The Better Way: Test-Driven Security
WAF Rule Tester brings confidence and speed to WAF management through powerful test cases that let you:
- Validate rules against synthetic HTTP traffic in seconds, not days
- Simulate complex scenarios including business logic attacks
- Test rule interactions and chain effects
- Verify blocking, rate limiting, and detection behaviors
- Integrate WAF testing directly into your CI/CD pipeline
How It Works
1. Define your test case with synthetic HTTP requests/responses
2. Configure your expected behaviors and assertions
3. Run the test and get results in seconds
4. Deploy with confidence knowing exactly how your rules will behave
Ready to bring confidence to your WAF management?
- Follow us on LinkedIn for product updates
- Schedule a demo to see WAF Rule Tester in action
Don't let WAF testing be your security team's bottleneck. With WAF Rule Tester, you can move fast AND stay secure.
The post Introducing WAF Rule Tester: Test with Confidence, Deploy without Fear | Impart Security appeared first on Security Boulevard.