Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15461F974E4811C773827C3F0E6E58E3A22928D4DC64302F286F4026FA3D4E58CDD31A8 |
|
CONTENT
ssdeep
|
48:wMVVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPWyhufqvGk5Ol2mKzvFJu:w409TBn9YLfqtRuCvGk5m6u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13b4e46314f7139 |
|
VISUAL
aHash
|
00ffcfcfcfcfff00 |
|
VISUAL
dHash
|
7c7c1e9a9c986212 |
|
VISUAL
wHash
|
001f8fcfcf4eaf00 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
7c7e1e9a9a9cd356,0000000000000000,0080606060600000,69696969e9626021,0000020b0b030000 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.