Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8235C726732B8A883DB91DEE7382D56B2D2589DF8C74450F1C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8i4IDawOoM5B0wwM5BNwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvla:an+EsZ/81IDawPM5B0wwM5BNweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e69c9c83696c0 |
|
VISUAL
aHash
|
81010787ffffffff |
|
VISUAL
dHash
|
557d4d4d21000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07000600030 |
|
VISUAL
cropResistant
|
557d4d4d21000000,65a1b3d294ac3555,a6bffffecc8c8cec |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.