Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE9317F6E2D8A931F20363D0F1A1671722A7117ACF4AC9C8DB7C85B4A7D6C894D37891 |
|
CONTENT
ssdeep
|
768:giMIccEM8CiW2p6kuXS5WxlzQO/J0Ff3wcEKeWWjdziMIccEM8BiPrxodcxkAzAM:Rhm6dcxkAzAo3hoAaf0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b44352bd3d496c3c |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
14ccc4d22e2f1b2c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000038000 |
|
VISUAL
cropResistant
|
38b6662c8496b4ac,cc1636cada8a8e76,fcfcfed8d8fefcfc,322e2c133f072c2f,c4423cccc4e4d6d8 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.