Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF12EFE1C544E93B476282C5FBB56F4B7791C345CF07094093F8836BAFCADA0DA12599 |
|
CONTENT
ssdeep
|
192:QHQrKifgzYhhjBl8iI4wybDEXMXCRyQDyt7QtKWlc:QtGj317waA7RfDU7WKW2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9a6c9393 |
|
VISUAL
aHash
|
fff3f3d3f3ffffff |
|
VISUAL
dHash
|
2626262626100600 |
|
VISUAL
wHash
|
00c3c3c3c0c0fcfc |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2626262626100600,dcf8b3fce8f9fcff |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.