Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA41853010089E374143CAC5C7E96A0B71DDC417CB8B3A49AAFD9AAD2FE3C068CD5696 |
|
CONTENT
ssdeep
|
48:OUYiWrYcaCjfHcC0riFvEwSTiFDCHF5aQ+WvDV4eIW:a5agfHHFRWlFDKnW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2d63a6dc4c23935 |
|
VISUAL
aHash
|
0707070707070707 |
|
VISUAL
dHash
|
2dad2dccce2e4d2d |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
a0a29c9cb09ca2a0,1b13c9cc16d28a8a,0040064868064000 |
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.