Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168B4EBED6FA432F9D002F1EAE921268D7A4A10FE7E918BB4C37C5E157AD2478C91DC41 |
|
CONTENT
ssdeep
|
6144:QxCK7WxoMgBqYU7TgjU2W3Eq0oizUNCnAk917IdEyf:s7Wx+BqYU7Tgj9W0q0oizUNCnH0dEO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83a9d65c74f1654c |
|
VISUAL
aHash
|
3f3f3f0700002424 |
|
VISUAL
dHash
|
deffc3df6bcccdcc |
|
VISUAL
wHash
|
7f7f7f2f01002434 |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
deffc3df6bcccdcc |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.