Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124234B726722B4B883DB91DEFB382D46B2D6588DF8C74450B5C99ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aY+EsZx8/G8hRF4nDawDM5B7w9M5BuwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvQ:aY+EsZ/8DOnDawDM5B7w9M5BuweN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afbcc3c4b0d1c4d2 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
6971697155455151 |
|
VISUAL
wHash
|
ff81818981bdbd89 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6971697155455151,69e9f033f4c4d0d0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.