Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DB1B8303141BA3F6A27C9B877E0FA86B159E308DA6F640EF6DD016523D7DA1CC75468 |
|
CONTENT
ssdeep
|
96:TXUOUXU4AzsjE+lZZ42d2MJBTf38m5zgxJdyf38m59ZdCL:AhXJA2s2d2WTfv5zgYfvXZwL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccdd3376cc89cc22 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
200cb2b2b2b20d23 |
|
VISUAL
wHash
|
c0c01818d8d9e3f3 |
|
VISUAL
colorHash
|
38000200038 |
|
VISUAL
cropResistant
|
200cb2b2b2b20d23 |
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.