Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179B11FE1C414ED3B475386D997B9AB1BB7D2C349CB02184097F843AF5BCAC60CB259AD |
|
CONTENT
ssdeep
|
96:TkHNDzeoBeSTgGaVRFNGXbHFTjZVjUXiz/+YUJ:QtDzeKkGaVGpLLz2B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b7176848cd37127c |
|
VISUAL
aHash
|
00ef87a7ffff81ff |
|
VISUAL
dHash
|
512b2d6c978b0f06 |
|
VISUAL
wHash
|
00830786fb7f80ff |
|
VISUAL
colorHash
|
06401600000 |
|
VISUAL
cropResistant
|
73296c6c938b0f06,0000e01010100040,33b6869919161601,1b0b690dcfcd3131,7c7c7c7c638c849b |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.