Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153D28632B0007A3B02A783CAB661A75FA2D3420BD9870905D6FD83BD57D7D84DE2765E |
|
CONTENT
ssdeep
|
768:y5ZH9UlvppPYXtmXkma2D7sOy2+y9BH4crIe:AUb57D7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c346bd29ed46c692 |
|
VISUAL
aHash
|
000024000000ffff |
|
VISUAL
dHash
|
c498ccc4d0c8cc00 |
|
VISUAL
wHash
|
00007e7c3828ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
0880800458988000,cc96c8c4c0c0c8cc |
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.