Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A245448A13058BEE1534BECE3107BA73557F3AEE28945543A6D15382FD3DA8F9278E0 |
|
CONTENT
ssdeep
|
1536:uFsV8srQFy0bVMplwn4FsV8srQFy0bVMplwns0lHtmD:VlYl6lHtmD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad2939d292d2e03f |
|
VISUAL
aHash
|
7f0101ff1fffbf0f |
|
VISUAL
dHash
|
d93333787ad07a7a |
|
VISUAL
wHash
|
0f0101bf0f7f0f0f |
|
VISUAL
colorHash
|
0e000000200 |
|
VISUAL
cropResistant
|
d93333787ad07a7a,591979dbd161211b,6b6329b8bd3c606d,030343cb6363f743,2d6d4c69694b494d |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.