Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155611277E01BB42F0301D3F6FE91B24CC687420EC178EA6D69B70C1D99AC9591BB268D |
|
CONTENT
ssdeep
|
96:vBbZzaJglZWTW7uDXuP/ruzTvuz5tuzfuzbuzJduzj5pHON1r:5bZ2JglZWTW7uzuPTuXudtuzuPujuHfY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a524c0d8bb9fe730 |
|
VISUAL
aHash
|
7b03030703ffffff |
|
VISUAL
dHash
|
a7a7e76e1ed6e014 |
|
VISUAL
wHash
|
43030103037f7fff |
|
VISUAL
colorHash
|
07640000000 |
|
VISUAL
cropResistant
|
a7a7e76e1ed6e014,49c858585a5a5c34,6b737b7b6f5a1a67,30c00b70cc70c070,d9cb4bcddccf8686 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.