Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEC29472A110173F12A7C3C9B712B72EA2D3924DCB86181653FD876E4BE7E50EC5352A |
|
CONTENT
ssdeep
|
768:ooy5NVNpsv0Xwxc9rGY87Ew8NCoY1oo7sOy2+y9BH4crIe:gpsv0Xwxcy7EtCoho7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfc32d02d8583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4dc3c3cc4cb600 |
|
VISUAL
wHash
|
80fd71000c06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,1c0dc3c3cbcccc36 |
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.