Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D7320317006483B8A4392C2A6696B0EB3C5935FC6534C50BBF593AADFC7DF4ED2A614 |
|
CONTENT
ssdeep
|
768:teWdQo2FLm8bnUP24e+8NNNeJ6CamcnF9kM1dDGKEGxyMdjPMEVXSdeCUT0DYJKd:teWdQF3nUPje+8NNNeJsBo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ae71f94e5005b6a |
|
VISUAL
aHash
|
ffffbdffff180008 |
|
VISUAL
dHash
|
4169690cb8b0b179 |
|
VISUAL
wHash
|
ffbda1ff7f000000 |
|
VISUAL
colorHash
|
06c01000000 |
|
VISUAL
cropResistant
|
4169690cb8b0b179,d3d3d396dc0b2fa6,fd711d7dd5f1f0d2,0733058d9383c1e4,8e9d999df1e99989,c898e4ece1e8cc0c,6c8f4ddb4e562738 |
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 151 techniques to evade detection by security scanners and make reverse engineering more difficult.