Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111E2B77161906B3F02A392C6F390B75E63E3834FD34A142252FD872D5BA3D50ED2766A |
|
CONTENT
ssdeep
|
768:qQele04mpU0CXzsGdjtt7sOy2+y9BH4c1Ie:ee02r7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d341f8329d6996c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d88cc0c8cc0cc300 |
|
VISUAL
wHash
|
006478302e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d88cc0c0c8cc3cc3 |
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.