See which vulnerabilities actually matter.
Farion evaluates vulnerabilities in the context of real application paths, data flows, and dependencies — turning scanner findings into traceable decisions, evidence, and concrete fixes.
| Name | Exploitability | CVEs | CWEs | ||
|---|---|---|---|---|---|
GET /restaurants/:id/menu | - | 5 | 5 | ||
GET /orders/:id/track | - | 1 | — | ||
POST /auth/login | - | 7 | 7 | ||
SQL injection in user lookup queryHIGHLine 47•AI confidence: 92% Hardcoded JWT secret detectedMEDIUMLine 58•AI confidence: 88% A03:2021 – SQL injection in user lookup queryCWE-89•SAST•HIGH User-supplied email from req.body is concatenated directly into a raw SQL string without parameterization, allowing an attacker to inject arbitrary SQL commands. AI Analysis by FarionTrue PositiveSQL injection confirmed: user input from req.body.email is concatenated into a raw SQL query without parameterization. Key Evidence: •String concatenation in SQL query at line 47 •Input flows from req.body.email DATA FLOW ANALYSIS: Shows how tainted data flows from source to exploitable sink src/routes/auth.js → Client.query Library sinkClient.query DATA FLOW: src/lib/db.js (db.js:12 query)
| |||||
POST /orders | - | 1 | 1 | ||
GET /users/api | - | 7 | 7 | ||
GET /search/export | - | 1 | — | ||
GET /restaurants/feed | - | 5 | 2 | ||
PUT /users/:id | - | 5 | 3 | ||
GET /restaurants/:id | - | 1 | — | ||
GET /orders | - | 1 | — | ||
GET /admin/dashboard | - | 2 | 1 | ||
GET /users/:id/profile | - | 2 | 1 | ||
POST /auth/reset-password | - | 3 | 2 | ||
GET /health | - | — | — | ||
POST /payments/checkout | - | 3 | 2 | ||
GET /config/features | - | 1 | — | ||
DELETE /users/:id | - | 4 | 3 | ||
PUT /orders/:id/status | - | 1 | 1 | ||
Only around 5% of published vulnerabilities are ever exploited in the wild.*
Traditional scanners still hand security teams the complete finding list. Farion combines application paths, data flows, dependency reachability, current threat intelligence, and AI exploitability analysis to identify the small subset that is actually exploitable in the application context.
* FIRST reports that only around 5% of published vulnerabilities are ever exploited in the wild. The displayed funnel is a representative result from Farion scans: 7 of 420 findings remained after reachability, taint and exploitability analysis. Exact results vary by application, dependency graph, configuration and the threat intelligence available at scan time.Representative triage funnel with Farion420
vulnerability findings
across 3,200+ direct and transitive dependencies
180
findings reachable from application code
after call-graph and vulnerable-function analysis
-57%58
reachable through paths carrying untrusted input
after source-to-sink taint analysis
-68%7
findings assessed as exploitable
after combining attack-path evidence with current threat intelligence
-88%95%
smaller immediate remediation queue
Access requests are reviewed within one business day.Findings grouped by route
Farion attaches every finding to the HTTP route, RPC endpoint, or message handler it belongs to — you start from an application path, not one endless global list.
SCA, SAST and active verification, correlated
Open a route and every signal is already there — vulnerable dependencies, code findings, and active-verification results, all tied to the same path. Switch between them without losing context.
Evidence-backed exploitability verdict
See the vulnerable source, the data flow that reaches the sink, and Farion's AI verdict with its supporting evidence — the full case for whether a finding is truly exploitable.
An automated fix, ready to ship
Analysis becomes remediation: a concrete patch with a reviewable code diff and a prepared pull request.
SQL injection in user lookup query
Hardcoded JWT secret detected
A03:2021 – SQL injection in user lookup query
User-supplied email from req.body is concatenated directly into a raw SQL string without parameterization, allowing an attacker to inject arbitrary SQL commands.
AI Analysis by Farion
True PositiveSQL injection confirmed: user input from req.body.email is concatenated into a raw SQL query without parameterization.
DATA FLOW:
src/lib/db.js (db.js:12 query)
12async function query(sql) {13const client = await pool.connect();14const result = await client.query(sql);15client.release();16return result;17}
Built for AI-era application security. Not adapted to it.
Native parsing in Java, JavaScript, TypeScript, Python, Go, Rust, C#
Compiler-grade analysis per language — for the most precise scanning, not heuristic guesses.
Our own AI, hosted in Germany
No external LLM — our specialized security AI runs in German data centers, under our control.
Dedicated & on-prem deployment
Run Farion fully isolated behind your own perimeter — built for regulated environments.
Farion Dataflow Engine
Farion Security Scanner
Farion Security AI
Farion ThreatIntel Database
Findings
Built on years of security and DevSecOps practice
Farion was founded by Christoph Ebeling — also the founder of Nexode Consulting — and grew out of hands-on work in security and DevSecOps projects across complex enterprise environments. Classic scanners produce plenty of findings but barely help with the decision that matters: is the vulnerability relevant in context, is it exploitable, and who has to fix it? That's the gap Farion closes.
More Farion solutions…
See which vulnerable dependencies are actually reachable and exploitable in your build — SBOM, transitive graph, and reachability in one view.
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Beyond static analysis: Farion runs targeted, authorized attack simulations against your findings to prove exploitability — or rule it out.
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Triage, assign, and track every finding to closure with exploitability-based prioritization, deduplication, and an audit-ready history.
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Parse the actual license texts across your full dependency tree and flag obligations that conflict with your distribution model — before they ship.
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We've got the answers
- Active Verification is an optional capability that dynamically exercises your running application to confirm findings against a real target — for customers with a suitable test environment.
- Target ownership must be verified (DNS TXT, HTTP token, or repo-to-domain proof).
- You explicitly confirm authorization before each run.
- Rate limits and safe-mode presets are enforced by default.
- Full audit logs track who ran what, when, and against which target.
- It is offered as an optional add-on with individually allocated capacity on Enterprise — not as a differentiator between the standard plans.
All data is processed and stored in Germany, supporting your GDPR, NIS2, and German data-sovereignty requirements. Enterprise customers can choose dedicated, single-workspace deployment options within the EU.
AI AutoFix automatically generates pull requests that fix detected vulnerabilities in your code. Each PR includes the fix, an explanation of the vulnerability, and the reasoning behind the remediation. Allowances are per month: 10 (Startup), 50 (Growth), or custom (Enterprise).
Yes. Both the Startup and Growth plans include a free trial period so you can evaluate all features before committing. No credit card is required for the trial.
Test Farion on your own application.
See how Farion connects routes, data flows, dependencies, and threat intelligence to identify the findings that actually require action.
Access requests are reviewed within one business day.