Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD32E603D03A826209F55DF9227130E62D1D7C9D66326E5B9F0D3789AFAC64FFA3150 |
|
CONTENT
ssdeep
|
1536:ptF1CTujZNsIxbyZn6iujZwnZb1wzbTzgv77g70DUUqn7F7k76DwI7MM7y:pkEK11vJDUUqhMM7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d90ef306b18e358e |
|
VISUAL
aHash
|
7e0000080000ffff |
|
VISUAL
dHash
|
d4187270b030f01a |
|
VISUAL
wHash
|
ff8018181c00ffff |
|
VISUAL
colorHash
|
32480000200 |
|
VISUAL
cropResistant
|
0000000000000000,30000080ba181a1a,039484dcd4c41403,1830727078b07070 |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.