Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14124226379167426103FC2DB606B173ED1C1DBCFFAA30A815AF8C3BA16F9C90B656158 |
|
CONTENT
ssdeep
|
1536:GsgMfZRTksPEGIhIEBa4Qjo+2RZ8IpyjjXeYp9LeLVR+vWW4s7OG77OGW7OG/7OQ:GebjJaa9jjX/zJfJYJTJrIy9e2+wp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6393dc638c3c726 |
|
VISUAL
aHash
|
2000706c74707000 |
|
VISUAL
dHash
|
ccc4c0d9c4e4c419 |
|
VISUAL
wHash
|
7e707c6c7c70700b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4cccceb28ef87e,800080e060800080,800080d0d0800080,800080c0c0800080,8080888c8ca08082,ccc4c0d9c4e4c419 |
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 687 techniques to evade detection by security scanners and make reverse engineering more difficult.