Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124038E30660835A742B794C4B830BF5971A3E31FC54784A46BBCE2650FD7EA1F91A4BB |
|
CONTENT
ssdeep
|
768:UgDTMXUBqoAdxcT5emlAg4lGpI6ZgF50WOis/uNvI+Rw72ZS79W7Wv77u7U17x3:UgDTMXUBqoAdxcTUmlAg4lGpI6ZgF507 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c32c6d3b792c6c |
|
VISUAL
aHash
|
007e7e7e3c000000 |
|
VISUAL
dHash
|
c4d4d4d0c433d184 |
|
VISUAL
wHash
|
7e7e7e7e7e080002 |
|
VISUAL
colorHash
|
3a0000001c0 |
|
VISUAL
cropResistant
|
80808080809490e0,c4d4d4d0c433d184 |
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 284 techniques to evade detection by security scanners and make reverse engineering more difficult.