Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19CA125B55418ED326662C3DAFAF09B1DE592868ECA834685D1E4C34F1BC6DF3DD02114 |
|
CONTENT
ssdeep
|
96:HDyPei6PzECv+dhtZBfXg0ZhvUcJK5Uw1BvlP1w:HDynARmtZlXKcJKmwk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b979393969696868 |
|
VISUAL
aHash
|
00ffffffffffffff |
|
VISUAL
dHash
|
9b00810000100000 |
|
VISUAL
wHash
|
0000fffff0d0f0f0 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
5c00100000100000,000000828b8b8b44 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.