Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D335C726731B8A887DB91EEE7382D59B2C6489DF8CB4540F5C956CD23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aE+EsZ/8EaDVRgMjBZRFMjBGDrpRXPZlQaQD9OehM+BrUgq4z:aFQRbRDDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9111ee469a68eebc |
|
VISUAL
aHash
|
000a0a0b0e00feff |
|
VISUAL
dHash
|
989a9a9a9acaca00 |
|
VISUAL
wHash
|
0e0e0b0f0e00ffff |
|
VISUAL
colorHash
|
33c00600000 |
|
VISUAL
cropResistant
|
0000080c0c0c0008,7430383c3cbc9cad,feb9e9a1a2a6e4a9,0000000000000000,9a9a9a9a9a9acaca |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)