Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B73FA9E6445601A472740E384BB2BC9F7395C3FF92811D1A4B8C7E5B3AC8F5316AB4B |
|
CONTENT
ssdeep
|
768:oyWuPyW/u1cNwGs9XMQ1Z+5LRSHfF/CWIRF8nMz/uDoLtR5AX8U89pWMMFpqwTiP:inIycmyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f56d0c3c374241f |
|
VISUAL
aHash
|
fcfe07073fff1f9f |
|
VISUAL
dHash
|
cc30371e70443130 |
|
VISUAL
wHash
|
7c9e03031fff0c0e |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
cc30371e70443130,45453b98c4e41945,63661699891a98c9,cee2b5143c240a0e |
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 700 techniques to evade detection by security scanners and make reverse engineering more difficult.