Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A63387729302583BD54341C6FBA56BC9E286E35AC7520E44B7F1832BEF86D61FC342A4 |
|
CONTENT
ssdeep
|
768:t+3tLYdbe7/RWTKIq5MI6ZMA2lzj2e7XhIyWC5y6jZRiD31MhpVkm9a5+TMoe5oT:M3tLYqpmKIKMI9xb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8167f29436e565a |
|
VISUAL
aHash
|
007f7e717983c3ff |
|
VISUAL
dHash
|
dadcd4c5d5132bc8 |
|
VISUAL
wHash
|
007f76614183c3ff |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
daf4c5c5d7232b88,100494d4c8d23ada,07474fc7c3670f8f,7f7f7f7f7fffffff,33737145c5757133,32cdc53666c45920 |
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 110 techniques to evade detection by security scanners and make reverse engineering more difficult.