Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC311475C0019A1F13274AC0B1ABDB9A7682C74DCA0AE60059B943DF7FEED31DC5A553 |
|
CONTENT
ssdeep
|
24:hB8638C5frQLlvK+QpWoViq5eOLWZGTmoaO6T9mlRE67:vvQLlKhV5AO0+SO89kEy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0a75885fa0de699 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
00000010088eb2b0 |
|
VISUAL
wHash
|
f0f0f0f076000000 |
|
VISUAL
colorHash
|
10000038000 |
|
VISUAL
cropResistant
|
000000000010098e,8e8a4cb2b20c4294 |
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 81 techniques to evade detection by security scanners and make reverse engineering more difficult.