Findings from the 2026-06-24 security review, now mandatory before this
platform leaves the LAN for a public VPS (see budget/externalization note):
- Timing attack on admin password: hmac.compare_digest instead of !=
- CORS wildcard removed, restricted to ALLOWED_ORIGINS (needed for credentials)
- hCaptcha now fails closed on network error instead of open
- HMAC signatures use the full SHA-256 digest instead of a 64-bit truncation
- Consultation-scoped submissions were missing the consent/cooldown checks
the global submission route already had
- Admin search capped at 200 chars (ILIKE cost)
- Webhook URLs validated against SSRF (private/loopback/link-local/metadata
IPs rejected, re-checked at trigger time too, redirects not followed)
- Flood tracker backed by Redis when REDIS_URL is set (shared across Gunicorn
workers, survives restarts), falls back to in-memory otherwise
- Admin session moved from sessionStorage/Bearer token to an httpOnly+Secure+
SameSite=Strict cookie; new /api/admin/logout and /api/admin/session routes
Also found while wiring ProxyFix for the cookie's Secure flag: the app never
told Flask about the Nginx reverse proxy, so request.remote_addr saw Nginx's
own IP for every request in production — silently breaking rate limiting,
flood detection, and IP blacklist (everyone would collapse onto one shared
key). Added ProxyFix (1 hop).
CSV exports now stream instead of loading everything into memory. AI prompts
delimit citizen-submitted content explicitly and instruct the model to treat
it as inert data, never instructions, to reduce prompt injection surface.
Docs (DEX.md, SECURITE_ANTI_ABUS.md, README.md, DEPLOIEMENT.md) and
dev-local.sh updated to match.
Implements a two-layer approach to ensure legal texts are accurate and current:
Option A — runtime injection (legifrance_client.py):
- LegifranceClient: OAuth2 via PISTE (oauth.piste.gouv.fr), fetches consolidated
article text via api.piste.gouv.fr/dila/legifrance/lf-engine-app
- Redis cache with 24h TTL (in-memory fallback if no Redis)
- build_filter_prompt() injects live texts into the prompt with explicit priority
over static descriptions — model uses official Légifrance text, not training memory
- Graceful fallback to static prompt if API is unavailable — filtering never blocks
Option B — weekly sync script (scripts/check_legal_refs.py):
- Reads legal_refs.yaml (11 tracked articles, priority critical/high/medium)
- Fetches current text from Légifrance, diffs against stored baseline
- --init: resolves LEGIARTI IDs on first run
- --check: report only; --update: saves new texts to YAML
- Exit code 2 when changes detected (CI/n8n-compatible)
Supporting changes:
- legal_refs.yaml: tracked articles with code LEGITEXT IDs, priorities, rationale
- requirements.txt: add pyyaml>=6.0.2 and requests>=2.32.0
- .env.example: document PISTE_CLIENT_ID, PISTE_CLIENT_SECRET, LEGIFRANCE_CACHE_TTL
- transparence.tsx: document the Légifrance injection for public transparency
- Fixed portal URL: piste.gouv.fr (not piste.api.gouv.fr — verified June 2026)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Prompts (legal_framework.py + prompts.ts):
- Add source-grounding rule: model must use only the provided legal texts
- Fix section 8 heading: "Livre préliminaire" doesn't exist in French CP —
correct to "Livres II et IV" with proper structural references
- Fix Art. 211-2 description: was "incitation directe et publique" (wrong) —
corrected to "participation à un groupement formé en vue de préparer"
- Fix Loi 1881 Art. 24: remove misleading terrorism note — apologie du
terrorisme was transferred to CP Art. 421-2-5 by law n° 2014-1353
- Fix CRITÈRES DE REJET: remove phantom reference to Loi 1881 Art. 24 al. 6
for terrorism (no longer in force for this offense since 2014)
transparence.tsx:
- Fix step 1: IP hash IS stored (30 days, separate table, anti-abuse only)
- Fix step 2: "(GPT)" → "(Mistral)" — wrong AI provider
- Fix data table: IP row was "Non conservée" — corrected to hash SHA-256
- Fix récapitulatif: "Données personnelles: Aucune" → accurate with IP hash
- Fix sources list: "Livre préliminaire" → correct Livre II/IV references
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Nav: "Fonctionnement" and "Flyer QR" restored on mobile via a ···
overflow dropdown (click-outside closes); other links always visible
Law check: new POST /api/check-law endpoint (5/min, 20/h) calls
mistral-small with a new LAW_CHECK_PROMPT to detect if a proposal is
already covered by French or EU law. Informational only, non-blocking.
Frontend: "Vérifier le cadre légal existant" button below textarea in
home.tsx; result displayed with Scale icon; resets on content change.
Favicon: replaced placeholder red square with a petrol rounded square
containing a serif "V" (for Voix) in warm cream — matches brand palette
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Require exact counts ("une contribution", "X sur Y") — forbid vague
"des citoyens" or "plusieurs" without numerical basis
- Prohibit paraphrasing that softens or amplifies a concrete demand
- Require explicit mention of contradictions (no artificial consensus)
- Catch-all sentence for contributions that fit no identified theme,
rather than silently dropping them
- Grouping by theme conditional on ≥2 contributions covering it
- Cap raised to 5 themes to avoid forced merging on heterogeneous sets
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Update AI agent's legal framework to include French penal code, press law, and digital regulations, and update frontend to reflect new legal sources and rejection criteria.
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Integrate French penal code and press law into the legal filter prompt and update frontend displays to reflect the expanded moderation criteria, including rejection of obscene and defamatory content.
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Adjusted synthesis prompt and frontend copy to shift from a solemn, manifesto-like tone to a practical, direct communication style for user contributions and political representatives.
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Replace the existing Node.js API server with a Python Flask application, implementing robust AI-driven content filtering based on international human rights law and enhancing security measures.
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