Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108D3A3D55618038CA14BCA6DFF2FFE05131FB1AABA5946802A4EC26C95CF8D2F72751C |
|
CONTENT
ssdeep
|
1536:tn0RQ7Hc7ezaVDzTVtmWOZRLualFsR8MLqczXFsR8MLqcMC0:h0RQ7HaLDHOZRqqc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cecc83dbcc648b |
|
VISUAL
aHash
|
ffc3c3c7c7c7c7c7 |
|
VISUAL
dHash
|
341e961e9e9e969e |
|
VISUAL
wHash
|
d4c0c0c0c3c3c3c2 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
341e961e9e9e969e |
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 143 techniques to evade detection by security scanners and make reverse engineering more difficult.