Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161439730F540A73741D386E1E176B79AE3C3D70AC653A5D36FE987AA8FE6C80D911A04 |
|
CONTENT
ssdeep
|
1536:6Y0QLM8cWOWOWeWHWcWOWSWvW+WOWeWNW7Mjf1SA/zX+h+sfNc+g7x:6OM8cFWOWeWHWcWOWSWvW+WOWeWNW7Mj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0c9dae2d6e49995 |
|
VISUAL
aHash
|
ff0b0b0707070304 |
|
VISUAL
dHash
|
a3f3faeededfcd1c |
|
VISUAL
wHash
|
ff1b0f070f0f0706 |
|
VISUAL
colorHash
|
06207000000 |
|
VISUAL
cropResistant
|
e3b3dbfeeedfdfcc,31b191daccece6e3,71e004f0e0c79130,b3dbfeeedfdf8c1c |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.