Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C63A630E540AA3B05CB97D8A6361265B1ED4349C2234798F6F4C3F827EBCE8DA7B554 |
|
CONTENT
ssdeep
|
1536:essIxwa8a6noH8KreeRc8PyMlFo4CE14b4bNXXFmh7x:3j8meQlne7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5139aec8392eda1 |
|
VISUAL
aHash
|
7f00000020fbffff |
|
VISUAL
dHash
|
c4ccc7cec3038c07 |
|
VISUAL
wHash
|
7f00000020ffffff |
|
VISUAL
colorHash
|
0f006000040 |
|
VISUAL
cropResistant
|
80c0c08000800000,cfc7cac30388160e,cc98cfc7cecac363 |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.