Find real vulnerabilities. Prove them. Fix them.
A hybrid application-security scanner that reads your source with AI, then confirms every finding against your running application with hard evidence — so your team spends time on real risks, not on triaging false positives.
Most scanners flood you with pattern matches. Cortex reads the code like an analyst, proves what is exploitable against the live app, and scores it honestly.
It follows data from input to sink and recognises framework protections — global output-encoding, token-based CSRF, whitelist validation — so it flags what is genuinely exploitable, not every string that looks dangerous.
Every dynamic finding is confirmed with tangible evidence: out-of-band callbacks, response reflections with byte offsets, timing signals, command output. If it can't be proven, it is clearly labelled as such.
An admin-only, unconfirmed issue is not reported at the same level as a proven, internet-facing one. Confirmed desync ranks above a likely parser anomaly — evidence drives the score.
Executive summary, attack graph, 5×5 risk matrix, per-finding proof-of-concept, remediation plan with SLAs and compliance mapping — output your clients and auditors can read without a security degree.
High-end techniques normally reserved for manual penetration testing — automated, evidence-graded, and safe to run.
Real output. Genuine front-end/back-end desyncs are proven with a multi-second timing hang and reported as Critical; weaker parser anomalies drop to a "Likely / verify" tier at a lower score. A per-scan negative-control set proves the engine isn't crying wolf.
A low-level raw-socket module that emits the ambiguous framing normal HTTP clients can't — CL.TE, TE.CL, TE.TE, CL.CL, CL.0/0.CL and Transfer-Encoding obfuscation — and confirms desync by timing-differential and response-queue signals. High-end infrastructure testing, built in.
Last-byte-synchronised single-packet delivery lands concurrent requests inside a ~1 ms window to surface sub-millisecond race conditions that burst-based tools miss.
A built-in collaborator proves blind vulnerabilities — SSRF, XXE and object-injection — by capturing the callback the target makes back to us: hard proof with zero guesswork.
Stored/second-order XSS and SSTI (store → render), plus an attack graph that chains individual findings into realistic end-to-end paths an attacker would actually walk.
The source-reading AI is defended against instructions hidden inside the code it analyses — so a malicious comment can't steer the scanner. Security tooling that is itself secure.
Real-time CVE feeds and exploit-prediction scoring push what attackers are most likely to weaponise to the top of the queue — beyond a static vulnerability database.
From classic injection to modern desync and supply-chain risk — SAST reads the code, DAST proves it on the running application.
Professional HTML & PDF: executive summary, assessment scope, visual attack graph, 5×5 risk matrix, prioritised remediation plan (P0–P3 with SLAs), and per finding a reproducible proof-of-concept, evidence excerpt, plain-language description and MITRE ATT&CK mapping. Advisory before/after fix diffs — your files are never modified.
Every finding maps to OWASP Top 10, PCI-DSS v4.0, ISO/IEC 27001:2022 and GDPR — ready for audit and client deliverables straight out of the scan.
SARIF 2.1.0 (GitHub Security tab), JUnit XML (Jenkins/GitLab), native DefectDojo import. Pipeline gate fails a build on chosen severity; baseline mode fails only on new issues; scan-to-scan diff tracks regressions. A zero-cost source gate — including secret scanning — runs in CI with no live target and no AI key.
Session cookies, form login (separate admin/customer contexts), HTTP Basic — plus automatic CSRF-token & nonce handling for token-protected apps.
Rate-limiting, host scoping and exclusions keep testing in-scope and gentle on production. Intrusive modules are opt-in and never run in a default preset.
Import an OpenAPI spec to drive testing; replay a previous plan for fast, free iteration. Efficient AI usage keeps large-codebase scans cost-controlled.
Native application — scans source directories or single files, and probes live web apps over HTTP/S. For internal AppSec teams, penetration testers and MSSPs producing client-ready reports.
Request a demo or a pilot scan and get a client-ready report — proof, severity you can trust, and a prioritised fix plan.
For authorised security testing only. Always scan systems you own or have explicit permission to assess. · GG Advanced IT Security — ggsec.de
