Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D31542360049C2E3033C289F794BB170296D694D70F264073DDD36CDFD9D94EC66248 |
|
CONTENT
ssdeep
|
24:hR/Y9HDRhMZ8vJidjojhllV9DK5cdRqQ+vg40v7QR5wsPc5xDWTX:TwHlg8vEIK5cdEz0vMHk5x6TX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f170f070f |
|
VISUAL
aHash
|
3f1f1f871e9fbf1f |
|
VISUAL
dHash
|
6072380a383a633b |
|
VISUAL
wHash
|
000f7f860e9e9f0f |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
6072380a383a633b |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)