Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107D28532A020963B42E781C8B7727B2E62E7824BD6890554C6FD83FD5BD7E04DE23795 |
|
CONTENT
ssdeep
|
768:OermufF3acBcbmUEPTwT47sOy2+y9BH4c1Ie:kufJBhkT47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b51ad638dcaa |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
69c8c0c8e9e19500 |
|
VISUAL
wHash
|
00783070fc20ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,49c8c0c0c9e9e112 |
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.