Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124C265317121ED3744A7D2E1B3A4972B22E2C389CA43079157FC83BE4BEACA4FD16655 |
|
CONTENT
ssdeep
|
384:9xh3UW3l753HlXnO3jbkY/fdPREYNo0nfYESXMXVhFQ:9xhjr4JbNoEA+hm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc2ac7aa1cabc338 |
|
VISUAL
aHash
|
3f1f8f8b9ffffffe |
|
VISUAL
dHash
|
793b193b39182102 |
|
VISUAL
wHash
|
1d1d0d898d8cf8fc |
|
VISUAL
colorHash
|
07200008007 |
|
VISUAL
cropResistant
|
793b193b39182102 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)