Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D24225B1D415A93B1263C6D8B3B2A75AFB418186CDC2014BE1F6E35D1FE3DB1ED0A215 |
|
CONTENT
ssdeep
|
96:DcIyHUnoGyPs44mGjZzmjK4yYey4qEE8NvyDwGgjdjk6uhtaVytBF/eja8Srrdtd:wImnFbOOHHwtWhdmvpm5cTBrVZ5/0j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e68e161615c94 |
|
VISUAL
aHash
|
809c9c80ffffffff |
|
VISUAL
dHash
|
0b38342100202024 |
|
VISUAL
wHash
|
80809c80fcfcf4f4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0b38342100202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)