Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184D2A572A0605A3B42E786C9B7A17F2E63E38249C6450454C6FD87F91F93E08EE33795 |
|
CONTENT
ssdeep
|
768:XerptvMnVKfCX8mXbVCV7EfvWuzY7sOy2+y9BH4cLIe:EtvMVvXRI7E3WuzY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd38b838f5a2 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
48c8c0c8c8c4c300 |
|
VISUAL
wHash
|
007c6070fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c80080024cc88000,49c8c8c0c8c8c4c0 |
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.