Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8F103E1C044DC3A131385E9F7F62B5F7696C345CF060E8853F852AA5BDEC60CA63A99 |
|
CONTENT
ssdeep
|
96:Tkfza79oh4lzH03feGnV8FyEoNwvFdye2mXiHFUelXhz/jV8PJQxR:Qfe79oh4lzH031nsyEzV2VxXzbyJQj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834365b8bc6cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
dccd360008a30800 |
|
VISUAL
wHash
|
207effffff100000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94bda984b4e,00203038302c0810,4434cbd4d1c9ccd7,42a3814000000000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)