Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F62B6B062053F6E90D3CAA9F335B76EB0A8A348DA47436CD3F992655FC6CA4EC11254 |
|
CONTENT
ssdeep
|
384:+IA4F6E2g4xdW4dYdFdOTH4sdJTK71Rt7SxcSHFNyZtdyZ7sMpJzCqiJAh8I:6Lti76aYb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998c26338dcc33dd |
|
VISUAL
aHash
|
40803c3c18241000 |
|
VISUAL
dHash
|
80003232324c1000 |
|
VISUAL
wHash
|
7cfc18181b03033f |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
80003232324c1000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)