Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE93933B53092E3B104341CC471CB769E7C2DA0DD3D6E54AABA9831F6AC2DD9CE295E4 |
|
CONTENT
ssdeep
|
768:M9sinrDPb7v0bDk/rLTTE8TjdnbHrEcNsinrDPb7v0bDk/rLTTE8TjdnbHrEcfRQ:/1SRYz0vhAfx082lcLRSI0ixmLj8cg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e05096be366cbc96 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cc983130c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
6094109783971094,242565652a82d3d3,a2002a2f17960082,8212382327000f0c,8c87c9c98b23938f |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)