Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FC2B732A150363F5293C3C47762B31E93E3A28CDA49091652FC87AE6BD7E54EE2351D |
|
CONTENT
ssdeep
|
768:MS5y5NfpyJAYne+fT07sOy2+y9BH4crIe:MyJnfA7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43ad9398dc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9cccc0c8c9f70e00 |
|
VISUAL
wHash
|
00f478203c03ffff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480800458988000,9cccc8c0c8cde70e |
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.