Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6C2D671A000373F529BD3C97711F31DE2D39289DB461C2552F8876E8BE7E90CAA356A |
|
CONTENT
ssdeep
|
768:Ie/y5N4guVHTRSTiTFU/x7sOy2+y9BH4crIe:wuJRPTFUZ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9869c18c |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
044ccccacccce300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,944ccccec2ccccc3 |
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.