Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108F162E1C050ED3A436286D5E7B99B4F7751C309CB47154193F882ABABCADB0DF21158 |
|
CONTENT
ssdeep
|
192:Q9ouo1ogo0jzeTkGJtomUytoHYh8Wtow1dM9zqtoae:Q+PGZyOlwmU3HYmzw1CRae |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e530494f16165f73 |
|
VISUAL
aHash
|
00c3c3c7e7ffffff |
|
VISUAL
dHash
|
68160f0f0f030200 |
|
VISUAL
wHash
|
00818183e3f3f3ff |
|
VISUAL
colorHash
|
07003000c00 |
|
VISUAL
cropResistant
|
40160f0f0f030200,0000000000000000,0080414141018000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.