Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118937CB0B632F07D93EF90DDF7386945A681884AECC60560B1D49D8E23C7C5562A7BF8 |
|
CONTENT
ssdeep
|
1536:a4H17G6mdHwayMxBewaDMxBkYQxMxBHKw092kKJtcYDte8HJLXCiFxbf8wyE2vSQ:agIwaAwarYQ7X92kKkYDI8Z18820D0jZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49b9b64319b6c31 |
|
VISUAL
aHash
|
ffffffc3c3c3ffff |
|
VISUAL
dHash
|
880e498e96966016 |
|
VISUAL
wHash
|
00e7c7c383838f8f |
|
VISUAL
colorHash
|
07001003080 |
|
VISUAL
cropResistant
|
880e498e96966016,d0d060d0d8e03232 |
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 186 techniques to evade detection by security scanners and make reverse engineering more difficult.