Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E08297A792C018361D1B97A5EE52A7DEAE6FC057C3725D0096FE43C80A86FFDE536102 |
|
CONTENT
ssdeep
|
384:ePn9Hfk1SaCdcmA963UDTy1oDol+Kz+zge4YNHPpEz+SuHNtsMsG/24qmOI:ePn9/k1Z9YUPFCa5iz+SuHncGl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7436c4e4c6c4a79 |
|
VISUAL
aHash
|
00e700b63cffffff |
|
VISUAL
dHash
|
274c596c688d0e3b |
|
VISUAL
wHash
|
00000032b6ffffff |
|
VISUAL
colorHash
|
07000000c40 |
|
VISUAL
cropResistant
|
275c586c684c0e3b,0001030701010100 |
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)