Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T141329533A600DC2A4D9B558CF6C4868C511DD346EB3148CAA2B4A1FF3BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:Tu+coYctc3kxakWXAxdH6McnthWeNWbUmLfMmUU8VCoAIF:octc3kxakFHamLfMmUFCoAIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8459517666d9d92e |
|
VISUAL
aHash
|
0008383b37373737 |
|
VISUAL
dHash
|
88d0d2e3e5eee6e6 |
|
VISUAL
wHash
|
00083b3f37373737 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
88d0d2e3e5eee6e6 |
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.