Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156D285327020963B42FB81C9B6B27F2EA2E78249C649145586FD83F94BD7E08DD33795 |
|
CONTENT
ssdeep
|
768:Zee6rmjDc9hrbNH8AQHPWAcKVbmjxyVu57sOy2+y9BH4c1Ie:urmfsBmJVbJVu57sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c647bd3ab039c48e |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
48e0c4c8c8c49300 |
|
VISUAL
wHash
|
003870707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,09e8e4c0c8c8c4d2 |
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.