forked from mirrors/kingfisher
0f953f59a5
Why: Hyperscan doesn’t support lookaheads/behinds, so many “must contain X and Y” checks had to be baked into the regex (hurting readability) or were impossible. pattern_requirements applies lightweight, in-memory checks after a match is found, keeping patterns fast and clean.
37 lines
1 KiB
YAML
37 lines
1 KiB
YAML
rules:
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- name: Weights and Biases API Key
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id: kingfisher.wandb.1
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pattern: |
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(?xi)
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(?:wandb|weightsandbiases)
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(?:.|[\n\r]){0,16}?
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\b
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(
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[a-f0-9]{40}
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)
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\b
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pattern_requirements:
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min_digits: 2
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confidence: medium
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min_entropy: 3.5
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examples:
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- "export WANDB_API_KEY=872ab943740b34157041da2529fb160d89632710"
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- "wandb_api_key: 1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b"
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- "WeightsandBiases token => 7f9d2e34c1a0b5d6e7f81234abcd5678ef901234"
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validation:
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type: Http
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content:
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request:
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method: POST
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url: "https://api.wandb.ai/graphql"
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headers:
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Authorization: "Basic {{ 'api:' | append: TOKEN | b64enc }}"
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Content-Type: "application/json"
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body: |
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{"query":"query { viewer { email username } }"}
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response_matcher:
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- report_response: true
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- type: JsonValid
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- type: WordMatch
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words:
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- '"username"'
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