Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE1712FF61872290B1340D4F66172CFCF0A44ECC792CF46DAB4A92C97F558D067AA86 |
|
CONTENT
ssdeep
|
96:0rFykTPab/ysBMtkclOC08HW2195OddddddklFdddddddddddddKoddddddhvddb:uTPab6OMtkch/9vKp/JGg4WCvSg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2d9b1326263f2d |
|
VISUAL
aHash
|
03cbd3e373ffffff |
|
VISUAL
dHash
|
2e121626c6bb7df0 |
|
VISUAL
wHash
|
038b8303331f1f7f |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
2e121626c6bb7df0,00cb032b6b034b00,18e1861962138463 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)