Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9B2B6F1C5C8763B8223C5D0F2BBEB2B33818155DB47465097F543AD8ADED81E825A8E |
|
CONTENT
ssdeep
|
384:0+k+g7ZSt62SrlS0nQfr5u5ZB4Aq5DTwCAgn+:0+kj2AQFuZ54f+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b29c9c329c3437ce |
|
VISUAL
aHash
|
8fffe7e7e7c7c7ff |
|
VISUAL
dHash
|
3b384c0c0d4d4d18 |
|
VISUAL
wHash
|
8fffe7c303030307 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
3b384c0c0d4d4d18,0040166969780a40 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.