Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC274329140263F12D3C3C9B361B72FA3A39289DA4F091552FD839D4BF6E50DE1751A |
|
CONTENT
ssdeep
|
768:9SCy5N93hbiJVYn+mlwYPyeo7sOy2+y9BH4c1Ie:4hi5rN7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9367f532d46890cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4942c0c9d98900 |
|
VISUAL
wHash
|
80ef3030240cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1e4d4ae0c0c9d909 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.