Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE2B771A1006B3F02A3D2C7B290A75AA3E2834FD74B142652FC932D0BE7E51E91775E |
|
CONTENT
ssdeep
|
768:XQeDpORSU2SrJc+/b464E9AE7sOy2+y9BH4crIe:33Qb9p7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d260f9169d6996c5 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
98c8c4c0cc0cc300 |
|
VISUAL
wHash
|
006470303e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
08324c4c4d4c3204,0080800058988000,9888c4c0c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.