Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10252F7B061948639E503C7DCE870EF36B6C752DECF56D6A4E2F80BD79AC6E158CA4080 |
|
CONTENT
ssdeep
|
192:EaPAnqV8UirBblw7yHyIZN9/7P0f+ABdsgwsLNg3aEK2myOGOa5xDYbzNh:EWfmUidblw7lOzPcB4jK2mHGOgDYbf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e708f322d98876 |
|
VISUAL
aHash
|
ffffffffe7ffe700 |
|
VISUAL
dHash
|
0c0c0c0c4d080ca8 |
|
VISUAL
wHash
|
00e7e7e7e4e4e400 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4c0c0c004d4d080c,0000a48d8c800800,100cb2b2b20c1000,0020047879200400 |
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 780 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)