Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182D24370A480583B409351D9A2309B9B77C3A3C6CB675A0423F9C3AE7FDFC50DD926A8 |
|
CONTENT
ssdeep
|
384:v4gJKIem5JK3Kiag/9dGnFYnfQXmcx7BWVQJy:vhJKIemnAfag3GFYnfQX34+Jy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8c3bc0cae03d1fc |
|
VISUAL
aHash
|
ffcaec28f00000ff |
|
VISUAL
dHash
|
291cd8ca83f03534 |
|
VISUAL
wHash
|
ffefe828e00000ff |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
2d5914d8dac38196,555dcc4454549292,d03e3d373737d555,4f4f4a4e464a4e3c,8df95f8d0fce8eff,626d4f8d25633f61,70f0f0f0f0f0f0f0 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.