Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12112B73011580A3F662307F9F5A2B36981A9E39EC15BD869F2BC01772BDADC0CD73694 |
|
CONTENT
ssdeep
|
96:TG9lDPHCRPyXl8eagg3gHfPp8+TGJ+FIqH0b9m0bIKLUVRtZqW7mGEA3s/VOJkN1:anCRP8Uw/Pe+Ti+qyItCsdCshRrP1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92866d3196ed93c5 |
|
VISUAL
aHash
|
00007e7e7e0e0000 |
|
VISUAL
dHash
|
d4e5ccccccdcb319 |
|
VISUAL
wHash
|
03177f7f7f2e0800 |
|
VISUAL
colorHash
|
31240000000 |
|
VISUAL
cropResistant
|
4b5b416d2b1b4d8e,6b62959595946a6a,d4e5ccccccdcb319 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.