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Searches for "password" within low-noise techniques in the initial access phase

RTT· red team

RTT · red team

Advanced Search Keywords:

opsec:low - Show techniques with low noise level (stealthy)
phase:"initial access" - Filter by phase (use quotes for spaces)
category:lateral - Filter by category
platform:windows - Filter by platform
tag:credential - Find items with specific tag in results
external:true - Show only external techniques

Combining Keywords:

tag:stealth phase:"initial access" password

Searches for "password" within low-noise techniques in the initial access phase

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Advanced Search Keywords:

opsec:low - Show techniques with low noise level (stealthy)
phase:"initial access" - Filter by phase (use quotes for spaces)
category:lateral - Filter by category
platform:windows - Filter by platform
tag:credential - Find items with specific tag in results
external:true - Show only external techniques

Combining Keywords:

tag:stealth phase:"initial access" password

Searches for "password" within low-noise techniques in the initial access phase

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Prowl

Noise: RESTRICTED_ACCESS_BLUR_MARKER

OSINT

Reconnaissance

Legacy Python 2 OSINT utility that queries Bing and Yahoo for public LinkedIn staff-profile results, extracts names, job snippets and profile URLs, derives candidate work-email addresses from a supplied pattern, and writes CSV output. Optional -j scrapes Indeed.co.uk job titles; -s searches crt.sh certificate records and resolves candidate names through DNS at 8.8.8.8; -a combines the optional job and certificate searches with the base staff search. The parsers use old hard-coded HTML selectors whose current compatibility is unverified. The source also attempts a Have I Been Pwned lookup through a legacy endpoint without current API v3 authentication, so breach enrichment should not be relied on.

Source

https://github.com/nettitude/Prowl

Language

Python

References

github.com github.com github.com github.com github.com

+9 more

Extended Details

RESTRICTED_ACCESS_BLUR_MARKER