Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE6306361354097F70574ADDF672B3A4C3AF825AE25B48CCE2ED107663D7C88E9678A0 |
|
CONTENT
ssdeep
|
768:RC2RNmqcccjQ0NXbzoiGFwHUyfsWiv/ELpbNLRVLYSL0CL6iLPLLEy0o2OIC6fNU:HcccjQ0smsaCZ1KVuhyJqxk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9312ec6d2dbc6c23 |
|
VISUAL
aHash
|
000c0c0c04ffffff |
|
VISUAL
dHash
|
ced8d8d8d84a081e |
|
VISUAL
wHash
|
000c0c0e04ffffff |
|
VISUAL
colorHash
|
13006000040 |
|
VISUAL
cropResistant
|
4ecef2f6a2da7372,38394a490e1e6856,c6c8d8d8d898d8ca |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)