Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF93BB23411975274437C2C134BA5B3BD1A6999FFAE70A000EECCBFA6BF9CA0745B519 |
|
CONTENT
ssdeep
|
768:esCDtpR4nXF6YjOpSpFlTC6rr7jJwpz9gvEp0A1rzGOv:esgtpR4nXBKpSpFl26v/4zyvDApqOv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8269371a9de1e68d |
|
VISUAL
aHash
|
0101717919146e2f |
|
VISUAL
dHash
|
9b1be3e3b1edcccc |
|
VISUAL
wHash
|
410971793d146f3f |
|
VISUAL
colorHash
|
30006000000 |
|
VISUAL
cropResistant
|
9b1be3e3b1edcccc |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.