Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6C251317120ED3745AB97E1B3F49B6B23E2D386CA43039542FC83AD4BE6C94ED22655 |
|
CONTENT
ssdeep
|
384:bxDjW6/GfoC3TlXfyzbkWR/fd6yVEYcfmROFEkrVhfQ:bxDjWvoCYj68bcfv/h4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c63c39b3161e4d |
|
VISUAL
aHash
|
0070766e6c000001 |
|
VISUAL
dHash
|
12c0ecccd8234099 |
|
VISUAL
wHash
|
407e7e7e7e40104f |
|
VISUAL
colorHash
|
38c00088000 |
|
VISUAL
cropResistant
|
12c0ecccd8234099 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.