Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6E120E1C048CD37031389D6F7F56B5F7596C349CF020A8493F892EB5BDAC60CA56A99 |
|
CONTENT
ssdeep
|
96:Tkkar7khOhHWfeG9VK8USS8ct76aKvwvl0epXaHlUeJX9z/aDQPJ:Qkar7khOhHW19p64aKOE9rzoQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9303f979d8590727 |
|
VISUAL
aHash
|
087e243c3e04ffff |
|
VISUAL
dHash
|
72cccce0f8e81740 |
|
VISUAL
wHash
|
083c243c3c04ffff |
|
VISUAL
colorHash
|
06040006000 |
|
VISUAL
cropResistant
|
72cccce0f8e81740,2363636363634343,99b1316161717373,ffff7f69614240a0,efebeb6ac2c1c0c0,dcdcddefe7e7f7ff |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.