Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B78484F0C06549BE547B82FAEB68EB99B3F606CCC35344D152FC83544BA9EA4E82750D |
|
CONTENT
ssdeep
|
1536:q+WsDvS8ZhInuE7wFXzRMZXTS+yf/ZYFBcLYI4KJldaGdeQS/lTpBR0bCsSQTbLs:qKvS8ZhWFUxq/rnaEtqjhCr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8ccc733cd368638 |
|
VISUAL
aHash
|
ffdf07878d8787cf |
|
VISUAL
dHash
|
4cb0bcb99b393c0e |
|
VISUAL
wHash
|
ff1f07000d0787cf |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
4cb0bcb99b393c0e,382d393767676767 |
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 189 techniques to evade detection by security scanners and make reverse engineering more difficult.