Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19632BCB44127C83B41B3D6D872AA5F1BB1D4C24ECF8B064962FE93CD5AEAC02FD91215 |
|
CONTENT
ssdeep
|
192:y7dSslMaiaBpK9fGgXIqIltt4cTgTtcQyx0T6:HslRiaBU9+gXIqIltLcyJx0T6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84893b1be7e5b2c4 |
|
VISUAL
aHash
|
00187ff7ff040000 |
|
VISUAL
dHash
|
73b3a6e6aaa8c4a4 |
|
VISUAL
wHash
|
0119ffffff0c4004 |
|
VISUAL
colorHash
|
09200002200 |
|
VISUAL
cropResistant
|
9ceda9b0b8599bfa,b6a6adb4b4add203,f1f0e072b299db3e,383c2c3231f1f5c5,73b3a6e6aaa8c4a4 |
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 317 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)