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Open-source secrets scanning tool Sift hunts credentials in Microsoft 365, Slack, and Jira

Help Net Securityby @helpnetsecurity ()3 min read2
AI summary · glm-5.3-flashSummaries by Vani AI

Stratus Security open-sourced Sift, a CLI secrets scanner covering Active Directory, SharePoint, Teams, Slack, Jira, and Confluence, outperforming Snaffler in benchmarks.

Stratus Security released Sift, a free open-source command line tool that hunts passwords, API keys, and sensitive data across local disks, Windows shares, Active Directory, SharePoint, OneDrive, Teams, Slack, Jira, and Confluence. In the firm's benchmarks, Sift scanned 250,000 files in 10.61 seconds versus Snaffler's 25.48 and averaged 92 MiB memory versus Snaffler's 337 MiB. Optional false-positive filtering runs through a local language model via Ollama, and scans write checkpoints so interrupted runs resume. The tool found thousands of credentials in Jira ticket comments that prior pentesting had missed.

Key facts
  • Scans local disks, Windows shares, Active Directory, SharePoint, OneDrive, Teams, Slack, Jira, and Confluence.
  • Benchmarks: 250,000 files in 10.61 seconds vs Snaffler's 25.48; 92 MiB average memory vs 337.
  • Optional local LLM filtering via Ollama keeps scanned credentials on-machine.
  • Detection rules are plain JSON files; checkpoints let interrupted scans resume; no code-signed binaries yet.
  • Found thousands of credentials in Jira comments missed by five years of prior pentesting.
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From the original article

3 min read at helpnetsecurity.com

Sift is a free, open-source command line tool that searches for passwords, API keys, and other sensitive data across the places a company keeps its work: local disks, Windows file shares, an entire Active Directory domain, SharePoint, OneDrive, Teams channel files, Slack messages, and Jira and Confluence. Stratus Security, a penetration testing consultancy, built it for its own engagements and released it for free.

Help Net Security

By @helpnetsecurity · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.