Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC93B6F18204E8934093D3F8EA3E17AB3296A19DDF47468542F88B99FEE1DF1DC19584 |
|
CONTENT
ssdeep
|
768:WEbexAeS4ovoeokDY/3UwW+v1O9G/AtbncsWWjPzoBF:5eS4wpr8/3UwW+vcdWfF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b007fc3fa9c587c0 |
|
VISUAL
aHash
|
07077f2f0707cfd9 |
|
VISUAL
dHash
|
7e3cc6ce9e7e9693 |
|
VISUAL
wHash
|
07077f074707c3d9 |
|
VISUAL
colorHash
|
10400038000 |
|
VISUAL
cropResistant
|
7e3cc6ce9e7e9693 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.