Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110D28732B1107E3B42D7D2C8B363F31ED2A39249D6960855E2FD83AD4B97E64CD23526 |
|
CONTENT
ssdeep
|
768:6Scy5Nd1e5njEhOGkEOlvcF7sOy2+y9BH4crIe:r5h8cF7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1adc69c18b |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
948cc2c2c8cdd300 |
|
VISUAL
wHash
|
00e7f0703004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
208080024c888000,940ccec2c2cccdd3 |
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.