Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106C2A6317100763B02DB92DDB362F32EE2A38249EB56095592FD83AD4BD7D94DE33126 |
|
CONTENT
ssdeep
|
768:yScy5NZyYQLba6+HJ9BAR57sOy2+y9BH4crIe:YYAaxAR57sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc1adc4bc1e9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8c8cc2c2c8ccc100 |
|
VISUAL
wHash
|
00e7f2702004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
208080024c888000,940ccec2c0c8cdc1 |
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.