Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D751103380148C174852A7A8F5B0E94F5185EB1E9ECB254076F4EB6C6AD3EA6BC112B4 |
|
CONTENT
ssdeep
|
48:LEImLWce2DfXRPkxO8lqE8TdLndbmF1r+i6ioTHOWrFiL09:+ve2jXRPkxFlqjTu9+DyWoI9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b06d1f1ee0e00f1f |
|
VISUAL
aHash
|
010343e7e646060c |
|
VISUAL
dHash
|
fb7e9e9e9e9c7cd8 |
|
VISUAL
wHash
|
010347e7ef4f0f0e |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
f5fbf6e4d8b0e080,6260d2b2b0415180,fb7e9e9e9e9c7cd8 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.