Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106430AE93C95B5524B7290D3A0BF3A4AB339182F781C55A0B064CFE571F84A9606BF4F |
|
CONTENT
ssdeep
|
768:dyWuP5yLuLW//uMRWXbz8vL8n+UsfM15/FijwqqBSDC9CVaSx11X8UvjhSuaIJcE:78yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cccc8ccc8e |
|
VISUAL
aHash
|
cfc7c7c7e7e7c7c7 |
|
VISUAL
dHash
|
1c1d0c1c0c0e1c1c |
|
VISUAL
wHash
|
0f07030303030302 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
1c1d0c1c0c0e1c1c |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.