Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3B141E0C418ED3B47528AD997B56B0BB7D2C359CB02184497F843AF97CEC60CB256AD |
|
CONTENT
ssdeep
|
96:TkbwjzeNCBeSTgGaV/FdPWX5HFXeGXHz/IYMJ:QMjze+kGaVPe1vzQZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9234e363cc6763cc |
|
VISUAL
aHash
|
648e0f071e652d5f |
|
VISUAL
dHash
|
cc1c2c2cb4c9c9b4 |
|
VISUAL
wHash
|
400e0f071f652f7f |
|
VISUAL
colorHash
|
03006000000 |
|
VISUAL
cropResistant
|
cc1c2c2cb4c9c9b4,0000000000000000,00f2c29c3821db4b,614509336161017f |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.