Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D223E73209C86B3F91E393C4A354AE5BD3918144E7778A4DE1EA8B1F17C5D89C82BB4D |
|
CONTENT
ssdeep
|
768:sJBegNfbreGAxYpXhGyLueMO/vmaSoK5EXBMnc6M+Dff01vAgQ7:sJBegNGpxYpwyyO/vgRERMnnk1vAgQ7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9414ebeacbcac896 |
|
VISUAL
aHash
|
fd060606060efff9 |
|
VISUAL
dHash
|
71ccecccecbc3b13 |
|
VISUAL
wHash
|
ff0606060606fff9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
0001496161490152,96d6e8b094710f8e,8038332c33131313,ccccecccccecacec,9b9f51537270eb8d |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)