Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD2C931A0106E3B11B7D2C9B361A32BA2A3924FD747091592FD83AC4FE3D94CE77566 |
|
CONTENT
ssdeep
|
384:XSby5NgALEgIweGgP/k4GoegechyKVFFgte84IYsOy2+y9BH4cCUIe:XSby5NgALXtUq47sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d244fc32e93893cd |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc4e8c8cc3c00 |
|
VISUAL
wHash
|
00fe7800006effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4c0e8c9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.