Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1246309992855601A472380E394BB2B89B3791C2FF92815D1A4B8C7F572FCCF5316AF4B |
|
CONTENT
ssdeep
|
768:UyWuuyPWz/R1/u5IUW1S8njSZBzcoM5uvCojwqLL6LDQ4s5X8n+PxzU+dlFFLX8P:a7/6yOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666482d39bcc9a |
|
VISUAL
aHash
|
e7c3e7c7e7c7c7c7 |
|
VISUAL
dHash
|
0e0e1c0c0c1c1c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c7c2 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
0e0e1c0c0c1c1c1c,79b4c6245449615c |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.