analyzing-certificate-transparency-for-phishing

analyzing-certificate-transparency-for-phishing is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 39 tokens per session (3,066 once invoked), scanned A, a copy of analyzing-certificate-transparency-for-phishing, MIT.

A guide to watching public records of issued website security certificates to spot fake domains, lookalike certificates, and certificates issued without permission for your organization.

In plain words
What is it for?
Use it to search certificate records, watch new certificates as they appear, create alerts for suspicious names, and add findings to threat-intelligence work.
Why use it?
It helps security teams notice phishing infrastructure and unauthorized certificates earlier than they might through ordinary incident reports.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search certificate records, watch new certificates as they appear, create alerts for suspicious names, and add findings to threat-intelligence work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing
Install

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.

Any agent
npx skills add Youngmaidainon/Agent-Level-Up --skill analyzing-certificate-transparency-for-phishing
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for analyzing-certificate-transparency-for-phishing

README.md
[![agentmods](https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing/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.

agentmods 80×15 button for analyzing-certificate-transparency-for-phishing

Your own site · 80×15
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-certificate-transparency-for-phishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,066 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.03066
Opus 5 $0.00019 $0.01533
Sonnet 5 $0.00008 $0.00613
Haiku 4.5 $0.00004 $0.00307

Measured 10d ago against content hash 890fe618933f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analyzing-certificate-transparency-for-phishing 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

resp = requests.get(self.CRT_SH_URL, params=params, timeout=30)
Origin

This is a copy

100% identical to analyzing-certificate-transparency-for-phishing — 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.

cyber-security/ctf/analyzing-certificate-transparency-for-phishing/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Certificate Transparency for Phishing

Overview

Certificate Transparency (CT) is an Internet security standard that creates a public, append-only log of all issued SSL/TLS certificates. Monitoring CT logs enables early detection of phishing domains that register certificates mimicking legitimate brands, unauthorized certificate issuance for owned domains, and certificate-based attack infrastructure. This skill covers querying CT logs via crt.sh, real-time monitoring with Certstream, building automated alerting for suspicious certificates, and integrating findings into threat intelligence workflows.

When to Use

  • When investigating security incidents that require analyzing certificate transparency for phishing
  • When building detection rules or threat hunting queries for this domain
  • When SOC analysts need structured procedures for this analysis type
  • When validating security monitoring coverage for related attack techniques

Prerequisites

  • Python 3.9+ with requests, certstream, tldextract, Levenshtein libraries
  • Access to crt.sh (https://crt.sh/) for historical CT log queries
  • Certstream (https://certstream.calidog.io/) for real-time monitoring
  • List of organization domains and brand keywords to monitor
  • Understanding of SSL/TLS certificate structure and issuance process

Key Concepts

Certificate Transparency Logs

CT logs are cryptographically assured, publicly auditable, append-only records of TLS certificate issuance. Major CAs (Let's Encrypt, DigiCert, Sectigo, Google Trust Services) submit all issued certificates to multiple CT logs. As of 2025, Chrome and Safari require CT for all publicly trusted certificates.

Phishing Detection via CT

Attackers register lookalike domains and obtain free certificates (often from Let's Encrypt) to make phishing sites appear legitimate with HTTPS. CT monitoring detects these early because the certificate appears in logs before the phishing campaign launches, providing a window for proactive blocking.

Read the full file on GitHub · 371 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 10d ago First seen · 371 lines · 39 tokens per session scan A 890fe618933f

Subscribe to this mod's changes

analyzing-certificate-transparency-for-phishing is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 16d ago), licensed MIT. It adds 39 tokens to every session and 3,066 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to analyzing-certificate-transparency-for-phishing, differing in 0 lines, and is treated as a copy.

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