In August 2022, CVE-2022-3075 was disclosed: a heap corruption vulnerability in Chrome’s Mojo IPC that enabled sandbox escape. Google rated it Critical. It had been exploited in the wild. The bug was simple: Mojo’s nullptr element validator skipped type validation in a specific deserialization path. An attacker with renderer code execution could send a crafted … Read more
You don’t need a custom scanner to apply the Error Principle to your codebase. You can measure information debt with a pen, a printout, and 30 minutes per file. Here’s the step-by-step methodology I use — the same one that found 53 information debt points in Android AOSP system services. Step 1: Identify Trust Boundaries … Read more
I audited three files from Android AOSP system services. 36,003 lines of Java. Three files from a codebase that ships on 3 billion devices. I found 53 instances of information debt — places where error handling silently degrades the security model. 22 of 53 have no effective error handling at all. This is the real-world … Read more
Over the last eighteen months, I developed four independent frameworks for vulnerability analysis: VMF Engine — geometric scanning with 6 projection dimensions Error Principle — information debt quantification via D_e scoring Memory Layer — 8-factor exploitability vector across memory geometries AttackGraph — graph-theoretic exploit chain modeling For a long time, I treated them as separate … Read more
Most vulnerability scanners treat each finding as an island. Finding A has CVSS 6.5. Finding B has CVSS 4.3. They’re filed, triaged, and forgotten as separate items. This misses the most important question in exploit development: can you chain them? A CVSS 4.3 info leak followed by a CVSS 6.5 use-after-free can produce a CVSS … Read more
Every security scanner I’ve used works the same way: it parses your code, matches patterns against a rulebook, and dumps a list of findings. Then a human spends hours triaging 80% false positives to find the 20% that matter. I built the VMF Engine because I wanted a scanner that thinks the way an adversary … Read more
I audit network device configurations for Indian enterprise resellers. After reviewing 50+ Cisco IOS-XE configurations from production environments, I’ve found that 80% of them expose more than they should. Here are the 10 checks your network team probably forgot. 1. Telnet Still Enabled The finding: Line VTY still permits protocol telnet alongside protocol ssh. The … Read more
I’ve scanned codebases that passed every SAST tool — SonarQube, Semgrep, CodeQL, Coverity — and found critical vulnerabilities within the first hour of manual review. Not because the tools are bad, but because they operate in a category that misses the most dangerous class of bugs. Here’s what they miss and why. 1. Exploit Chains … Read more
Code is not a list of statements. Code is a series of assumptions — about inputs, about state, about memory layout, about the caller’s intentions. Every line that lacks error handling is a debt that compounds until a security researcher collects. I call this the Error Principle: The probability that a vulnerability will be exploited … Read more
Why Your Code Needs a Security Audit Before Launch