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Arnold Chan

@slaz
Trusted contributorCompletionist
2 followers2,100 downloads4,386 copies51 likes26,184 views

7,555 detections

Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
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Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects rapid, bulk cloning or downloading of GitHub repositories containing sensitive data (e.g., consensus algorithms, PII, internal blocklists). This behavior is characteristic of unauthorized data exfiltration, specifically tracking activity involving suspicious OAuth token prefixes (gho_) and rapid high-volume access to sensitive organizational assets within a short timeframe.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
000
Detects the creation and immediate deletion of a GitHub OAuth token that is used to clone or fetch a large volume of private repositories within a short lifespan. This behavior is indicative of an adversary using a temporary, ephemeral token to perform rapid data exfiltration or mass reconnaissance on source code repositories.
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Arnold Chan@slaz
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Hunters
2 months ago
000
Detects the creation and immediate deletion of a GitHub OAuth token that is used to clone or fetch a large volume of private repositories within a short lifespan. This behavior is indicative of an adversary using a temporary, ephemeral token to perform rapid data exfiltration or mass reconnaissance on source code repositories.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
000
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
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Arnold Chan@slaz
Defender - KQL
2 months ago
000
Detects anomalous credential retrieval activity occurring within 30 minutes of a GitLab Duo Chat GraphQL subscription request. This pattern is indicative of potential exploitation of CVE-2026-87719, which involves insecure deserialization within the GitLab EE GraphQL subscription serializer to facilitate unauthorized credential access.
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Arnold Chan@slaz
Defender - KQL
2 months ago
005
This rule detects scenarios where a device registration event occurs within 15 minutes of a device-code authentication sign-in for the same user. This pattern is indicative of potential account manipulation where an adversary registers their own device to an existing account to maintain persistent access or bypass multi-factor authentication (MFA).
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
001
This rule detects potential OAuth token theft resulting from device code phishing (e.g., N0va phishkit). It monitors for a successful OAuth device-code authentication followed within 5 minutes by a secondary successful sign-in for the same user from a different IP address, different browser client, or different user agent, which is a common indicator of an adversary-in-the-middle (AiTM) session hijacking attempt.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
Detects anomalous non-interactive sign-ins that bypass multi-factor authentication (MFA) requirements from a geographical location not previously seen in the user's historical sign-in baseline. This pattern is indicative of attackers using stolen OAuth access or refresh tokens to maintain persistence and bypass standard authentication controls.
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
001
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