Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3B38EF97180FF2201B740D2B057A682B33E4806A95D0890EAFCD7D672D9C7991B73E9 |
|
CONTENT
ssdeep
|
1536:TWueea+DlhDMI1posFFjq+GXPyH9L+GQqihVkzQ2N0msQw:TWuLVrjaXPyH9SqihKVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c696946d2d39b496 |
|
VISUAL
aHash
|
003c3c003030207e |
|
VISUAL
dHash
|
ace9edd8e0e0c0c2 |
|
VISUAL
wHash
|
067c7c203c3c3c7f |
|
VISUAL
colorHash
|
30201040001 |
|
VISUAL
cropResistant
|
64c2c9c9656652d8,7767333233f2f3f9,ace9edd8e0e0c0c2 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.