Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F54232376040C62A0EDB41DDFAC8F299A66DC145FB30C4836AF5827FAB80DED652176D |
|
CONTENT
ssdeep
|
384:+ExasQBIAbB4sKNE0jh0ZQvBSzZfMmUFCoI:+ErQBIYBZKNE0F0ZQvBSdfBUsp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b636c3c92636c9c9 |
|
VISUAL
aHash
|
0707070707ffffff |
|
VISUAL
dHash
|
ed3d3d2d2d20fcec |
|
VISUAL
wHash
|
07070707070f7f3f |
|
VISUAL
colorHash
|
17e00008000 |
|
VISUAL
cropResistant
|
ed3d3d2d2d20fcec,c4c6d9e9ecb13131,48100c8a9a9a9a5a |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Found 1 other scan for this domain