Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12322857321414C3B314782DCA6A5F617D141E389DBAB5982B2EC8A5B2AD7C7CCCE5268 |
|
CONTENT
ssdeep
|
96:XiNgnqMu++zPcJaojCfiJsuHW6/JJ5KF2WSTdwsZg9H1lxnOdIKv4WTa3Dj1qikh:GPcHsiJsuH3J6UzBerHnOdPgWIDj16Nj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3a2bcbca8e3c2a2 |
|
VISUAL
aHash
|
ff00746000000000 |
|
VISUAL
dHash
|
0344cdc122400010 |
|
VISUAL
wHash
|
fff1f5f500020018 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
0344cdc122400010 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.