Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EF2113552149E3BA05387C5EB60A33B72E45385EB0B2211C3F6477D46FAC9CEE266A4 |
|
CONTENT
ssdeep
|
384:U+b7jeYec+nI+nfqP1JR4Ksy2y9pvm+tbvIFSBxAnqsu:UceYednJnbGWSb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a666666699999999 |
|
VISUAL
aHash
|
e7e7efffe7e7ffef |
|
VISUAL
dHash
|
4d4d48484c4d3048 |
|
VISUAL
wHash
|
e0e0e8e8e8e0e8c8 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
4d4d48484c4d3048,c9c4c4c8a094cdc7 |
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 125 techniques to evade detection by security scanners and make reverse engineering more difficult.