abrignoni/iLEAPP

Health v2 · maintenance only

Adoption not part of the score

1185 stars · 295 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

iLEAPP is an open-source iOS and iPadOS forensic artifact parser that extracts logs, events, and plists from device extractions and iTunes backups. It produces HTML reports, TSV files, timelines, KML, and LAVA output for forensic analysis.

Use cases

• parse iOS forensic extractions into readable reports
• analyze iTunes/Finder backups including encrypted ones
• generate timelines from iOS device artifacts
• extract plists and logs from iPadOS devices
• produce KML location data from iOS extractions
• process zip, tar, or folder-based mobile extractions

When to choose

• you need to parse iOS/iPadOS 11+ forensic extractions
• you want a free, scriptable alternative to commercial mobile forensics tools
• you need HTML, TSV, timeline, or KML output from iOS artifacts
• you work with encrypted iTunes backups and need password-protected parsing

When to avoid

• you need to parse Android artifacts (use ALEAPP instead)
• you require commercial support or court-tested validation guarantees
• you need a point-and-click tool with no technical setup and cannot use the provided GUI builds

Facets

cli-tool · maturity active

parser cli gui data-science security developer-tools windows python cli cross-platform digital-forensics ios mobile-forensics plist artifact-parsing incident-response command-line macos linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="abrignoni/iLEAPP")