Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146F13E30D050AC774583D1E563B5BF1AF690C203C66B174652F8936E9FE3D42CE716A8 |
|
CONTENT
ssdeep
|
96:TBrovIqXgJ75dC7Shc2qgJ7bqy8vARCOGOgdOlniPwXFSr:hoNgJTG2qgJCyU8w2igF8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c440ad9b1ad2bfb1 |
|
VISUAL
aHash
|
ff70707064ffffb3 |
|
VISUAL
dHash
|
77a6a4adc9526567 |
|
VISUAL
wHash
|
1170707000ffffb3 |
|
VISUAL
colorHash
|
06206000000 |
|
VISUAL
cropResistant
|
77a6a4adc9526567,17171b1b1b1736ee,d7e0f0d1c3cfd0cb,e6a74b4a46560e9e,1303131311015d5c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.