Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E123E1C044DC3B135385E5B7F5275FB596C359CB020D8853F852AA5BDACA0C923A9A |
|
CONTENT
ssdeep
|
96:Tkf8Z7khOlzH0X0eGnVRhyEB3wvFjelXPHFoepXRz/koVRvPQPJ:QfY7khOlzH0Xsn1yE5BRHzsobPQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834365b8bc6cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
d8cd04200aa30000 |
|
VISUAL
wHash
|
007cffffff700000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a8494a9a4b4e,40203830302c0810,4424cbdcd4c9ccd4,a2a3188200000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)