Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3C2A731B104673B52C7D2C9B321E32EA3E39349E6470919A2F9C3AD1BA7D51DE33526 |
|
CONTENT
ssdeep
|
384:yScy5NjhIIZQBZmCG4KdlO61ClPu7Uy3iX4IYsOy2+y9BH4ciUIe:yScy5NjEYlp4FWZ7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3add09c3c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c8ccac2c8cdc100 |
|
VISUAL
wHash
|
00e7f2700024ffff |
|
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.