Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E13C971A2002A3F125783C8F366B72EB2F3428AD746101542FD477D8BA6EC5ED3756A |
|
CONTENT
ssdeep
|
768:8Oy5NRISHalU3/RuQ5+86bRrc4h7sOy2+y9BH4cLIe:hXlU3/RuQ5+86b9h7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76db03aed12c583 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c06424242c9f900 |
|
VISUAL
wHash
|
00f3f2b0000cffff |
|
VISUAL
colorHash
|
310000003c0 |
|
VISUAL
cropResistant
|
0000103232300400,4080800270908000,1c064242414ac9f9 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.