Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B241C22AA42711B099BA4F0ECF7C71D7739C301922148E8F6A4C5F6A65CD7C85B76CE |
|
CONTENT
ssdeep
|
3072:S/k90MVoPL0pbBbZKYgz7TkzhKa2FkOohlKa2FkOohB:b9m00Y1Y/yhI/yhB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea2d075a2d531cc7 |
|
VISUAL
aHash
|
00f7fff3d9cd6460 |
|
VISUAL
dHash
|
1b478697939dcdcf |
|
VISUAL
wHash
|
00f7fff3c1cd4060 |
|
VISUAL
colorHash
|
06006000040 |
|
VISUAL
cropResistant
|
46469693919dcdcf,14ab593939bb7e7e,61bbbb96c6caf9f9,00000029074723cc,4b8f374f7d2f4e4d,8697839195ddcdcf |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.