Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4C2F931B1006A3742C383C8B363671EE3B38289DB6A1505E2FD835D57A7E58DA3725B |
|
CONTENT
ssdeep
|
768:Jny5NqrJ0HUU9XKrPRqpZJ7sOy2+y9BH4cLIe:3JmUQpZJ7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec1c1c46c362f |
|
VISUAL
aHash
|
fb8f8383dfdfd9fe |
|
VISUAL
dHash
|
23393f3b35353390 |
|
VISUAL
wHash
|
bb8f81838d8981fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
23393f3b35353390,b4343a1d5c6c6e15 |
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.