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▤TemplateLanguage & NLPFree

Chatbot UI

Name: Chatbot UI
Availability: InStock
Author: ai-supply

Open-source, self-hostable ChatGPT-style chat UI that works with any model.

@ai-supply

Instalações43k

↗ Repositório fonte

← More Language & NLP Language & NLP leaderboard →How we grade security →Source ↗

Chatbot UI

An open-source, self-hostable chat interface that works with many LLM providers and models — one of the most widely forked ChatGPT-style front ends.

It provides conversation management, model switching, prompt handling, and a clean web UI, making it a strong starting template for building your own hosted assistant.

MIT licensed and actively used as a boilerplate for custom chat applications.

Rating rank

of 30 in Language & NLP

Install rank

#17

of 30 in Language & NLP

Security score

0/100 · D

review

Security rank

#24

of 30 in Language & NLP

Installs

43k

cat avg 145k

This listing vs category average

Installs

this

cat avg

Security (of 100)

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Adoption trend

See the Language & NLP leaderboard →

! Security: Review · 00/100 · grade Dscanned 15h ago

⚠ 3 compromise signals9 risk-surface · 9/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

Prompt card · med confidence (static)

{homeWorkspace.id}{error.message}{email}{origin}{homeWorkspaceId}{ENDPOINT}{DEPLOYMENT_ID}{functionName}{paramName}{profile.azure_openai_endpoint}{profile.azure_openai_embeddings_id}{chunk}{metadataError.message}{fileError.message}{error.stack}{provider}{profile.user_id}{currentChat.id}{filePath}{selectedWorkspace.id}{ACCEPTED_FILE_TYPES}

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not.

OWASP Top 10 for LLM Applications

⚠LLM02Sensitive Information Disclosurecompromise · high

Secrets, credentials or PII shipped inside the artifact.

•Embedded credentials — found: hardcoded credential · mckaywrigley-chatbot-ui-81328b6/supabase/config.toml (CWE-798)compromise

•Embedded credentials — found: JWT · mckaywrigley-chatbot-ui-81328b6/supabase/migrations/20240108234540_setup.sql (CWE-798)compromise

•Verified secret leak (deep scan) — 1 leak(s): jwt (CWE-798)compromise

⚠LLM07System Prompt Leakagecompromise · high

Secrets, internal hosts or proprietary logic exposed in shipped prompts.

•Embedded credentials — found: hardcoded credential · mckaywrigley-chatbot-ui-81328b6/supabase/config.toml (CWE-798)compromise

•Embedded credentials — found: JWT · mckaywrigley-chatbot-ui-81328b6/supabase/migrations/20240108234540_setup.sql (CWE-798)compromise

•Verified secret leak (deep scan) — 1 leak(s): jwt (CWE-798)compromise

⚠LLM03Supply Chaincritical

Vulnerable/compromised dependencies, models or archives in the artifact.

•Dependency manifest — 2 npm dependencies declared · mckaywrigley-chatbot-ui-81328b6/__tests__/playwright-test/package.jsonrisk surface

•Dependency manifest — 97 npm dependencies declared · mckaywrigley-chatbot-ui-81328b6/package.jsonrisk surface

•Vulnerable dependencies — 144 known vulnerabilities in: @apidevtools/json-schema-ref-parser@11.1.0, @babel/core@7.23.7, @babel/helpers@7.23.8, @babel/plugin-transform-modules-systemjs@7.23.9, @babel/runtime@7.23.8, @langchain/community@0.0.19, @langchain/core@0.1.17, @protobufjs/utf8@1.1.0 (CWE-1395)known CVE · -25 pts

⚠LLM05Improper Output Handlinghigh

Code that pipes model/user output into shell, eval, SQL or paths unsafely.

•Path traversal sequences — '../' present in content or name · mckaywrigley-chatbot-ui-81328b6/app/[locale]/[workspaceid]/layout.tsx (CWE-22)risk surface

•Suspicious code patterns — environment/secret exfiltration · mckaywrigley-chatbot-ui-81328b6/components/chat/chat-helpers/index.ts (CWE-200)risk surface

•Suspicious code patterns — dynamic code execution · mckaywrigley-chatbot-ui-81328b6/components/messages/message-markdown.tsx (CWE-95)risk surface

⚠LLM10Unbounded Consumptionmedium

Unbounded loops/recursion causing DoS or runaway cost.

Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.

•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · mckaywrigley-chatbot-ui-81328b6/lib/consume-stream.ts (CWE-835)risk surface

⚠LLM06Excessive Agencylow

Over-broad tool/permission surface or unrestricted egress.

•Broad capability surface — 4 high-impact capability categories referenced — verify least-privilege · mckaywrigley-chatbot-ui-81328b6/package-lock.json (CWE-272)risk surface

•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · mckaywrigley-chatbot-ui-81328b6/supabase/config.toml (CWE-272)risk surface

§LLM09MisinformationGovernance

Artifacts designed to produce false/deceptive output.

Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.

✓LLM01Prompt InjectionPassed

✓LLM04Data and Model PoisoningPassed

Backdoors/poisoning in training data or serialized models.

Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.

✓LLM08Vector and Embedding WeaknessesPassed

PII or plaintext source leakage in embedding/vector exports.

Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.

OWASP Machine Learning Security Top 10

⚠ML06AI Supply Chaincritical

Compromised PyPI/npm packages, typosquats, unsafe serialized models.

•Dependency manifest — 2 npm dependencies declared · mckaywrigley-chatbot-ui-81328b6/__tests__/playwright-test/package.jsonrisk surface

•Dependency manifest — 97 npm dependencies declared · mckaywrigley-chatbot-ui-81328b6/package.jsonrisk surface

⚠ML09Output Integrityhigh

Middleware tampering with model outputs in transit.

Gateway enforces TLS + response integrity; static check flags output-rewriting code.

•Path traversal sequences — '../' present in content or name · mckaywrigley-chatbot-ui-81328b6/app/[locale]/[workspaceid]/layout.tsx (CWE-22)risk surface

•Suspicious code patterns — environment/secret exfiltration · mckaywrigley-chatbot-ui-81328b6/components/chat/chat-helpers/index.ts (CWE-200)risk surface

•Suspicious code patterns — dynamic code execution · mckaywrigley-chatbot-ui-81328b6/components/messages/message-markdown.tsx (CWE-95)risk surface

⚠ML05Model Theftlow

Unlicensed re-distribution / license-incompatible derivatives.

Static check verifies license declaration; extraction throttling is runtime.

•No license signal — no SPDX id or license keyword found · mckaywrigley-chatbot-ui-81328b6/.env.local.examplerisk surface

§ML01Input Manipulation (Adversarial)Governance

Models vulnerable to adversarial perturbations.

Requires runtime robustness evaluation; addressed via publisher robustness attestation.

§ML03Model InversionGovernance

Training data reconstructable from a model's outputs.

Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.

§ML04Membership InferenceGovernance

Determining whether a record was in the training set.

Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.

§ML08Model SkewingGovernance

Models trained on skewed data producing biased output.

Requires fairness evaluation; addressed via model-card bias/limitations disclosure.

✓ML02Data PoisoningPassed

Poisoned training datasets with triggers or anomalous distributions.

Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.

✓ML07Transfer Learning AttackPassed

Backdoored base models / LoRA adapters propagating to derivatives.

Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.

✓ML10Model Poisoning (Weights)Passed

Tampered model weight files; integrity must be verifiable.

Static check enforces safe formats + records a content hash for downstream verification.

Other findings (7) · hygiene / uncategorized

•Unrecognized file type — '.example' is not on the allowlist · mckaywrigley-chatbot-ui-81328b6/.env.local.examplerisk surface

•Unrecognized file type — '.gitignore' is not on the allowlist · mckaywrigley-chatbot-ui-81328b6/.gitignorerisk surface

•Unrecognized file type — '.?' is not on the allowlist · mckaywrigley-chatbot-ui-81328b6/.husky/pre-commitrisk surface

•Unrecognized file type — '.nvmrc' is not on the allowlist · mckaywrigley-chatbot-ui-81328b6/.nvmrcrisk surface

•Suspicious network references — raw IP URL (7 URLs) · mckaywrigley-chatbot-ui-81328b6/__tests__/playwright-test/playwright.config.tsrisk surface

•Possible obfuscation — very long lines · mckaywrigley-chatbot-ui-81328b6/components/icons/openai-svg.tsxrisk surface

•Unrecognized file type — '.cjs' is not on the allowlist · mckaywrigley-chatbot-ui-81328b6/prettier.config.cjsrisk surface

✔ verified source · pinned mckaywrigley-chatbot-ui-81328b6

Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/chatbot-ui/check). Click a policy:

Consume Chatbot UI programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/chatbot-ui

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/chatbot-ui/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add chatbot-ui

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/chatbot-ui/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "chatbot-ui" })

OpenAPI spec →

vlatest

! Security: Review · 017h ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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