Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDD2A87260006A3B039792C97362A32AA7E753CFDB46051592FC83AD4BE3DD4CE37656 |
|
CONTENT
ssdeep
|
384:QSby5N5Q+t/5NnppMC8H7Huyk3TeOtOoo9lrIYsOy2+y9BH4cCUIe:QSby5N5QayubyO27sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cfc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccc4e8c8dc3c00 |
|
VISUAL
wHash
|
00fe7800600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca51454d4d715596,1080800458988000,9cccc4c8e8c98c3c |
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.
Pages with identical visual appearance (based on perceptual hash)