Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF535B30B2317C2953AB48EDF37C7746B292960DE9C64540F6A86A9E27C3CB535437B8 |
|
CONTENT
ssdeep
|
1536:rD/MzMT9tZMmBsteMmBKYuMmBwYpMmBuJUXx+y9dQyDF1ZAU84HaX0u:rDGMT9tst3Y7Y+UXxpDzHy0u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
841aba65edd26699 |
|
VISUAL
aHash
|
00061c10f272ffff |
|
VISUAL
dHash
|
f6fcf5e4e2c6e500 |
|
VISUAL
wHash
|
03061c10f270ffff |
|
VISUAL
colorHash
|
07206008000 |
|
VISUAL
cropResistant
|
f6fcf5e4e2c6e500,fff7fffffffffff7,3c1d941c1c9d1626,c4dcd8d841838786 |
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 224 techniques to evade detection by security scanners and make reverse engineering more difficult.