Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D233AA93895F5120BB380E354AF285BB33E242B684C49A5B154DEDD39B801DA02FFDD |
|
CONTENT
ssdeep
|
768:OyWuP/T9H+1XX8Uny1Ph1ppSxHyOzxHRBaW/Sy3sIWj8zZs8LMRZEdDxxULfDEi:J1PqyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0cfe68acd8acd22 |
|
VISUAL
aHash
|
ffc7c3c7c7c7c7c3 |
|
VISUAL
dHash
|
589c9e949c949d9e |
|
VISUAL
wHash
|
ff0383838787c3c3 |
|
VISUAL
colorHash
|
07040006000 |
|
VISUAL
cropResistant
|
589c9e949c949d9e |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.