Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130D140E1D004DD37475286D9B7F96B1BB7A2C349CB02094453F883AB6BCAC60CB11699 |
|
CONTENT
ssdeep
|
96:TkwnbzH71tkz3UDdtmMK/Ndv2wvFCieIqXXHF/etXqX/vR:QwnbzH71U3UDdYMKldWFIMsUXR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcbc439c9e43c19c |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
2820300020204000 |
|
VISUAL
wHash
|
ff9f9f9f9f000000 |
|
VISUAL
colorHash
|
07000c08008 |
|
VISUAL
cropResistant
|
0820303020102028,0000000000000000 |
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.