Research
12 posts
Research
AI vs AI: How Cascade exploited an AI agent in production
We pointed Cascade, Escape's AI pentesting engine, at a production AI agent. The agent had a guardrail built to catch prompt injection. Cascade got past it on the second try.
The trick wasn't a smarter payload, just a different pretext, and the agent handed over its
Research
Escape Research team found a PII disclosure in Keycloak. It's now CVE-2026-17059.
Keycloak filters its main users list so a restricted admin sees nothing. The endpoint that lists a role's members skips that filter and hands the same account everyone's email and name. Escape research found it, reported it, and it's now tracked as CVE-2026-17059.
Research
Why does the rise of Agentic AI force security teams to become research-aware?
Bruce Schneier : "security is a process, not a product".
It’s not enough to audit your application once, every new feature introduces new attack surfaces that must be taken into account when evaluating the security of the application as a whole. For example, a company rolling out a
AI pentesting
Modern AI-powered Pentesting Tools In-Depth benchmark
If you're evaluating AI for offensive security right now, you're weighing two questions at once. The first: why not skip the tooling and point a frontier model at your apps yourself? The second: among the AI pentesting tools you could actually buy, which one earns the
AI pentesting
Two Critical Vulnerabilities, One AI Pentester: How Cascade Found an Unauthenticated RCE and Walked Around the WAF
TL;DR
We pointed Cascade, Escape's AI pentesting solution, at a single Spring + JSP customer portal. It came back with two findings that are typically difficult for traditional Dynamic Application Security Testing (DAST) scanners to detect:
* Unauthenticated RCE via SpEL injection. A ref request parameter was dropped, unsanitized,
Agentic Pentesting
How Escape AI Pentesting Exploited SSRF in LiteLLM
At Escape, we routinely test the AI infrastructure that teams deploy inside their cloud environments.
LLM gateways, RAG pipelines, model proxies: these are services that make outbound HTTP requests by design, which makes them natural targets for SSRF.
When we looked at LiteLLM, we found three confirmed SSRF sinks, a
Research
Methodology: How we discovered over 2k high-impact vulnerabilities in apps built with vibe coding platforms
Hey there,
With Halloween around the corner, what’s scarier for organizations than vulnerabilities in their web applications?
And it's even scarier when the development of these applications is in the hands of users not familiar with security practices.
This year, the Escape research team has focused on
Research
Fortune 1000 at risk: How we discovered 30k exposed APIs & 100k API vulnerabilities in the world’s largest organizations
Hey there!
Next week, social media will be flooded with Thanksgiving feasts (and Black Friday deals). But before you dive into the holiday shopping madness, the Escape team has prepared a special treat for you—not a Black Friday deal on Escape, of course, but rather some impressive findings on
Research
The State of Public APIs 2023
tl;dr we scanned 6056+ public APIs on the internet with our in-house feedback driven exploration tech and ranked them using security, performance, reliability, and design criteria. We decided to analyze the resulting data and produce a full featured report: The State of Public APIs 2023
Why build this report?
Announcement
APIRank.dev: we scanned and ranked 6031+ public APIs on the internet
tl;dr we scanned 6031+ public APIs on the internet with our in-house feedback driven exploration tech and ranked them using security, performance, reliability, and design criteria. The results are public on APIrank.dev. You can also request to index your own API for free and see how it compares