Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA524273F508353A0933D2E572257B8FD1879129CEC65862E2FC876E16D7E92DC4221B |
|
CONTENT
ssdeep
|
192:FBMQjxKjFjXn4gZjIlvjmjpuAgqR5Pjcjp+UNzazvzQtzXUzCzNT+zOStzLuZ+zX:FyQVMn4gxIlSuAxeQDRHzP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9d0963ff2c20ec5 |
|
VISUAL
aHash
|
fffbfbfb0b0909f3 |
|
VISUAL
dHash
|
bbb2e3933b3373b7 |
|
VISUAL
wHash
|
1f1bfbfb0b090911 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
bbb2e3933b3373b7,60a9acca8b4389c5,9b9b1999f2c3a3e3,dcdcb672eadabad8,a60f0797871b3979,5bac8c9ccd4f1a76 |
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 4571 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)