Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B3154704000792B929266A9AF70AF1D53D0CBC4C3431B2955D842DF97CE935CCBB1D8 |
|
CONTENT
ssdeep
|
24:hHC4+pbECvD/btwJ9SP2XiOuriJgDzpod5baq887:J+lLvbbSA2Pigba3y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cccc33e44c9933 |
|
VISUAL
aHash
|
ffffe7e7e7e7e7e7 |
|
VISUAL
dHash
|
28680c0d4d484c0c |
|
VISUAL
wHash
|
ff3c0424242424ff |
|
VISUAL
colorHash
|
07200018400 |
|
VISUAL
cropResistant
|
28680c0d4d484c0c,79072c24c3c9055d |
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 292 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)