Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F73767A12426A3F208382D1972CE359D386D60ED7A74A6ADFEC431B27C7DE0DD36164 |
|
CONTENT
ssdeep
|
1536:/tUEcTsDcrz074uEW86y+0u1GPbbo70CxVuz8Pl:DYRrDbhkl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
cc93ccd0cccc238e |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc236286,84cbe993c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,adcb69aca9a84a4a |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)