Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3428433E600DD2E8D9B91C8F5C49588515EC346FB3208CAA170A1BF7BC5DF129A97AD |
|
CONTENT
ssdeep
|
192:hYcjcQchVnp5AbZxD0DPVX1McnthWeNWbROdVfMmUU8VCoWT:mcjcQchVnp5KiPVXCOdVfMmUFCoWT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2755d0a767608dd |
|
VISUAL
aHash
|
00ffffe7ff00ffff |
|
VISUAL
dHash
|
a2ce080c4d490000 |
|
VISUAL
wHash
|
00072727e700fdfc |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
ce184d0c71490048,2020a0a0402010ca,0021596c6c6c1224 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.