Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19533D83154C86F3752C383C8A350EA5BE7E68444F27B858EF9E9C31B9AC4D58C876B58 |
|
CONTENT
ssdeep
|
1536:4ZdacfPWPBgRL54CnvdRru0f5WHulEUO9lZdamZg3q:FYBT/bmsq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946ac996e9e986b2 |
|
VISUAL
aHash
|
ff00000016367e7e |
|
VISUAL
dHash
|
71f0c4f0ececdcdc |
|
VISUAL
wHash
|
ff0010003e7e7e7e |
|
VISUAL
colorHash
|
02000000030 |
|
VISUAL
cropResistant
|
0001416363490042,317969696d4dc496,84c4c0b4a00e1c88,32f4d0acececdcdc,cc8c8e4d27963333 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.