sakisakiel711-ai/remix-of-get-this-app-88

Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.

Scan timing: clone 2.27s · analysis 3.09s · 3.6 MB · GitHub preflight 536ms

sakisakiel711-ai/remix-of-get-this-app-88

https://github.com/sakisakiel711-ai/remix-of-get-this-app-88.git · scanned 2026-05-26 22:10 UTC (1 week, 2 days ago) · 10 languages

270 findings (54 legacy + 216 scanner) 0th percentile · Typescript · medium (20-100K LoC) Scanner says 73 (lower by 28)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 2 days ago · v2 · 162 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	66.7	0.25	16.68
`testing_score`	0.0	0.20	0.00
`documentation_score`	1.0	0.15	0.15
`practices_score`	40.0	0.15	6.00
`code_quality`	71.7	0.10	7.17
Overall		1.00	45.0

Severity distribution — click a segment to filter

Active filters: layer: software × excluding tests × Reset all

Severity: Critical 7 High 16 Medium 24 Low 61 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 54 9-layer 108 Crowd 0 Layer: Quality 60 Software 48 Security 13 Api 1 Frontend 38 Data 1 Cicd 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 72.7/100 with 88.9% coverage. It contains 988 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 108 findings — concentrated in software (43), frontend (38), quality (14). Risk profile is high: 5 critical, 1 high, 18 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 45 of 162 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

low Legacy software xss conf 1.00 [SEC040] innerHTML XSS — template literal with server-supplied data: Setting .innerHTML with a template literal that interpolates server-supplied or user-supplied data is the canonical stored/reflected XSS vector. The browser parses the HTML and executes any <script> or event-handler attributes in the data. CWE-79. Especially dangerous when the data comes from a CV parser, profile field, or any user-input pipeline.

For plain text: use el.textContent = data.value (auto-escapes). For HTML you need to render: el.innerHTML = DOMPurify.sanitize(html). For React/Vue/Svelte: stop using innerHTML; use the framework's binding. When data comes from CV/PDF parsers, sanitize at the parser boundary too.

src/components/ui/chart.tsx:75 xsslegacy

medium Legacy software open_redirect conf 1.00 [SEC046] Client-side open redirect — window.location = server-supplied URL: Assigning window.location from a server-supplied URL trusts the server endpoint to never return a hostile destination. If that endpoint is ever subverted (compromised admin, JSON injection, MITM on a webhook), users get redirected to a phishing site they trust because the original page is yours. CWE-601 (server-side OR client-side). Complement to server-side SEC030.

Validate the URL is same-origin or on an explicit allowlist before assignment: const u = new URL(serverUrl, location.href); if (u.origin !== location.origin && !ALLOWED.includes(u.host)) return; location.assign(u); Even better: have the server return a path (/checkout/done) instead of a full …

src/components/PaywallModal.tsx:64 open_redirectlegacy

low 9-layer software dead-code-candidate conf 1.00 File has no detected symbols: eslint.config.js