Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E613D911F3002F35025707EAF6505276E362A3C5E30A75AA69E38EF86912F99ED3705F |
|
CONTENT
ssdeep
|
384:JR/k99wKOMpA3zHZBj622uaJ8njoFYpxxyZorJqr8hgucmyAq2vEpOTuj7ijAbIW:JR/IeJd1f/a+kFaxZrJCwzDcoq7HLvd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03bcf6c649b3918 |
|
VISUAL
aHash
|
ffe7c7c3c3c3ffff |
|
VISUAL
dHash
|
130e9e9696961016 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
130e9e9696961016,9df8e8e2d3d34ccc,eedba9abd3b5f3f3 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.