Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9E28431D852A43B623799C6A1606B1D71C2C15ECB970E19A3FC57AE6BCBDC4EC134AC |
|
CONTENT
ssdeep
|
768:q5nL7/XlRBXJ1jFlwjX8PRO53MlK1brPPkSIg/+sBXgDEvy2Jc0n8h/0LDCjTCcG:unL7/XlRBXJ1U72K1brPPkSIgT8VuWn0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b331cccccd643333 |
|
VISUAL
aHash
|
c3ffc7c3efffe3ef |
|
VISUAL
dHash
|
96069e9e480c048a |
|
VISUAL
wHash
|
c3c3c3c3cfcfc300 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
96069e9e480c048a |
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 385 techniques to evade detection by security scanners and make reverse engineering more difficult.