Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182D2957172007A37529782CAB761E72FA2E3534AEB87040552FD83AD4BD7D94DE3312A |
|
CONTENT
ssdeep
|
768:SiSkZLdlvpF4FU4E727sOy2+y9BH4crIe:Fo17sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc28ed43c796 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccb4ccc8d0c8cc00 |
|
VISUAL
wHash
|
00007c7c7830ffff |
|
VISUAL
colorHash
|
3a000000418 |
|
VISUAL
cropResistant
|
0880800458988000,cc12ecccd0c0c0cc |
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.