Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CE29571A1006A3F0297C3D9B351EB2EE2D7938DDB06091552FD935E4BE7E80DE2351A |
|
CONTENT
ssdeep
|
768:ITy5Nly4whF0dGS0TGOVMs7sOy2+y9BH4c1Ie:44wjYiKOVMs7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c766b839bb03cc98 |
|
VISUAL
aHash
|
000060200000ffff |
|
VISUAL
dHash
|
9cccccc84870d800 |
|
VISUAL
wHash
|
00e0fe702030ffff |
|
VISUAL
colorHash
|
39c00018000 |
|
VISUAL
cropResistant
|
d800d80158d88000,9c86ccc8c840f0c8 |
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.