Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD381D55628438CA047CA7DEF2FFE05131FB5AABA558A80298EC268D5CF8D1F70752C |
|
CONTENT
ssdeep
|
1536:Kz0RQ7HIIe+ZVmxXBnkzcoztszNDPuoh2qFsR8MLqc25FsR8MLqcMv:00RQ7HzeWVmxXZkzcoztsxD7QTm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2b26666e666b219 |
|
VISUAL
aHash
|
e7ffffffffff00ff |
|
VISUAL
dHash
|
4d0c0c0c00000808 |
|
VISUAL
wHash
|
0400002030300000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4d0c140c0c000000,0000000c0c080000,12cd32c284924080,0000000000000000 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.