Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED2297B00058AC3B211367C4FA947756E3C3D10ACB1A5B986AF4437D4BFAE94E893B56 |
|
CONTENT
ssdeep
|
192:Pyf9w6z25Dx9xnOGLSjQnS6hAy7hSH+KlDQf93S:z6OsQn5Sy7EVkf93S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4a4391b1766e6e |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
d1e1652500310020 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06001000180 |
|
VISUAL
cropResistant
|
6500203030000020,d1d1f3c1e1616565 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.