Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC9396716045493F475782E9E6791F4972E3D35ACA230D49BBF48B6F9FC2E20ED2A021 |
|
CONTENT
ssdeep
|
1536:E0OzzuoHR5weejrWz4B8KnNOK3odYcMXHb70dgB5bRAPx24r4Uvmh/7Y0Imsv7hQ:kNZw7smsv76 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2902f09fb92b691 |
|
VISUAL
aHash
|
0e006e6e48004081 |
|
VISUAL
dHash
|
b8c28c8c9a24800f |
|
VISUAL
wHash
|
7e00fefe4e0078c3 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
b8c28c8c9a24800f |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.