Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C1274336104D81A5EABD18CF6C0E58CA19AD34AFF31888AA1E4D1AF2BC4CF55D6137D |
|
CONTENT
ssdeep
|
192:wEpEUAdF1IQk+Ukjgsk4kziqbcwPfMmUU8VCoSn:xqvF1IrS8sk4kziqbcOfMmUFCow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b733994c9c9f60e0 |
|
VISUAL
aHash
|
2fa7e707e0e0ffff |
|
VISUAL
dHash
|
4c4c4c6c41050000 |
|
VISUAL
wHash
|
2707070720e0fffe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
4c4c4c6c41050000,0008303232300800,0129359393999191 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.