mirror of https://github.com/SHOGGOTH-SECTOR/sica-fondt.git synced 2026-08-01 08:30:20 +00:00

Consolidate 22 sibling repos into layered organism structure

Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c

2026-06-10 06:53:01 +00:00

2.4 KiB

Raw Blame History

API Reference: Race Condition Vulnerability Testing

Types of Race Conditions

Type	Description	Example
TOCTOU	Time-of-check to time-of-use	Balance check then debit
Double-spend	Multiple withdrawals before balance update	Gift card reuse
Limit bypass	Concurrent requests bypass rate limits	Coupon reuse
State mutation	Concurrent writes corrupt state	Inventory overselling

Python Threading for Concurrent Requests

Barrier Synchronization

import threading
barrier = threading.Barrier(10)

def worker():
    barrier.wait()  # All threads release simultaneously
    requests.post(url, json=data)

threads = [threading.Thread(target=worker) for _ in range(10)]
for t in threads: t.start()
for t in threads: t.join()

Turbo Intruder (Burp Suite)

Race Condition Script

def queueRequests(target, wordlists):
    engine = RequestEngine(endpoint=target.endpoint,
                          concurrentConnections=30,
                          requestsPerConnection=100,
                          pipeline=False)
    for i in range(30):
        engine.queue(target.req)

def handleResponse(req, interesting):
    table.add(req)

HTTP/2 Single-Packet Attack

Concept

Send multiple requests in a single TCP packet using HTTP/2 multiplexing to eliminate network jitter and maximize race window.

curl Example

# Send 10 requests simultaneously via HTTP/2
for i in $(seq 1 10); do
    curl -X POST https://target/api/redeem \
        -H "Content-Type: application/json" \
        -d '{"coupon": "SAVE50"}' &
done
wait

Analysis Indicators

Indicator	Meaning
Multiple 200 responses	Operation executed multiple times
Different response bodies	State changed between requests
Mixed status codes	Inconsistent handling

Common Vulnerable Operations

Operation	Impact
Coupon/voucher redemption	Financial loss
Money transfer	Double-spend
Like/vote submission	Manipulation
Account creation	Duplicate accounts
File upload	Overwrite race

Remediation

Use database-level locking (SELECT ... FOR UPDATE)
Implement idempotency keys
Use atomic operations (e.g., UPDATE balance = balance - X WHERE balance >= X)
Apply distributed locks (Redis SETNX)
Implement optimistic concurrency (version fields)

2.4 KiB Raw Blame History