Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4736622D357151390BBD1C8F1764B5923828789C6034FB567FD23BEBECECB52A52298 |
|
CONTENT
ssdeep
|
1536:H6ug5UXvLXJhOPUgOq6J+ZVpAAPgH6AhGp+IYHb59rYaprjMseVqeuGBegbNe8sO:d2PUgOq6r/59rYaprG1BeRghRSZk2224 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9e6cd32f983cd04 |
|
VISUAL
aHash
|
e3c33aefc38300fb |
|
VISUAL
dHash
|
2ba6e29a2eaa8ab2 |
|
VISUAL
wHash
|
c3c232cfc3c302fb |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
2ba6e29a2eaa8ab2,7119e571350b2bd4,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,8a8a05559f9c9c9a,d7693248cccc442c,1d3c585b5c5c7d1c,0d3c5c5b5e5c7d1c,272b392b2b3323cc |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.