Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120C29731F000263B11A7D3C9B361F72EA2E3A289D746091592FD939D8BE7E50DD2356B |
|
CONTENT
ssdeep
|
768:GNe/y5Nz66dcuyDFxt7sOy2+y9BH4c1Ie:J6kFb7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367f838992cc783 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
144cccc2cccdd300 |
|
VISUAL
wHash
|
00eef6302400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,940cccc6cacccde3 |
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.