Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FC3CA4B6181759BE912B4A371CB59D4E308538ACB94DFEAA3F8460367F0E54C43BB39 |
|
CONTENT
ssdeep
|
768:Z5FmNOyT4q+JHUHJHEZXfYyb1dPrtxXI4389PKmtttomcmcmcm3O:LINOC+nYE7cNZZZ+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
916cb966336c935c |
|
VISUAL
aHash
|
00183c103e7e3c3e |
|
VISUAL
dHash
|
1733f0f2dcccc4d8 |
|
VISUAL
wHash
|
80183c187e7e7e3e |
|
VISUAL
colorHash
|
38200018001 |
|
VISUAL
cropResistant
|
d2f0b85c2c3a3ac6,1733f0f2dcccc4d8 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.