Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C21276737409A81B6226854AFF87B64CD18284CFD7A05D94F5FB815D87F2FF4B28221A |
|
CONTENT
ssdeep
|
96:PjHNSNUKNcs7TcswGcsCFBR400+Z0ZDK7QLE+x52h6Rypv527/yvuFQKTVk:PjHp0OJbW00+IK7QLku7bBVk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a666cc3399993333 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
484d4d284d4d3208 |
|
VISUAL
wHash
|
e4e4e4e4e4e4c0c0 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
484d4d284d4d3208 |
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 937 techniques to evade detection by security scanners and make reverse engineering more difficult.