InfoSecBulletin Cybersecurity for mankind
OpenAI has increased its maximum bug bounty payout to $100,000, up from $20,000, to encourage the discovery of critical vulnerabilities in its systems and products.
The new bounty program is part of OpenAI’s broader security efforts, which also include funding research projects, ongoing adversarial testing, and collaboration with open-source software communities.
Samsung phone is saving your passwords in plain text
UK Software Firm Exposed 8 million of Healthcare Worker Records
GitHub Enterprise Server Vulns Expose Risk of Code Execution
CVE-2025-2492
ASUS warns of critical auth bypass flaw in routers
16,000+ Fortinet devices compromised with symlink backdoor, Mostly in Asia
Patch now! Critical Erlang/OTP SSH Vuln Allows UCE
CISA warns of increasing risk tied to Oracle legacy Cloud leak
CVE-2025-20236
Cisco Patches Unauthenticated RCE Flaw in Webex App
Apple released emergency security updates for 2 zero-day vulns
Oracle Released Patched for 378 flaws for April 2025
OpenAI will offer higher payouts for critical security findings and bonus promotions for qualifying reports during specific times.
The company announced an expansion of the Cybersecurity Grant Program, which has funded 28 research initiatives since its launch in 2023.
OpenAI stated that the funded projects have tackled issues like prompt injection, secure code generation, and creating autonomous cybersecurity defenses.
The program is now inviting hackers to suggest projects on software patching, model privacy, threat detection and response, security integration, and resilience against advanced attacks.
OpenAI is introducing microgrants in the form of API credits to help researchers quickly prototype innovative security solutions.
OpenAI is working with experts from academic, government, and commercial labs to assess skill gaps and enhance its models’ ability to identify and fix vulnerabilities.
The company is partnering with startup SpecterOps to provide ongoing adversarial red teaming for corporate, cloud, and production environments.
The company stated that the simulated attacks aim to identify weaknesses before malicious actors can take advantage of them.
