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Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug tokens, DNS tokens, document tokens, and AWS key tokens. Use when deploying and monitor canary tokens via the thinkst canary api.
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npx skills add https://github.com/oyi77/1ai-skills --skill implementing-deception-based-detection-with-canarytoken命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
正在显示 SKILL.md
| name | implementing-deception-based-detection-with-canarytoken |
| description | Deploy and monitor Canary Tokens via the Thinkst Canary API for deception-based breach detection using web bug tokens, DNS tokens, document tokens, and AWS key tokens. Use when deploying and monitor canary tokens via the thinkst canary api. |
| domain | cybersecurity |
| subdomain | deception-technology |
| tags | ["canarytoken","deception","honeytokens","breach-detection","Thinkst-Canary","tripwire","early-warning"] |
| version | 1.0 |
| author | oyi77 |
| license | Apache-2.0 |
| nist_csf | ["DE.CM-01","DE.AE-06","PR.IR-01"] |
Canary Tokens are lightweight tripwire mechanisms that alert when an attacker accesses a resource. This skill uses the Thinkst Canary REST API to programmatically create tokens (web bugs, DNS tokens, MS Word documents, AWS API keys), deploy them to strategic locations, monitor for triggered alerts, and generate deception coverage reports.
Trigger phrases:
"implementing deception based detection with canarytoken"
"When deploying or configuring implementing deception based detection with canary"
"When establishing security controls aligned to compliance requirements"
"When building or improving security architecture for this domain"
When deploying or configuring implementing deception based detection with canarytoken capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation
requests# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |