Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156D2853171006A3B11A782CAB761B75BF2E2924EEB87090492FC93FD47D7D54DE2385A |
|
CONTENT
ssdeep
|
768:pSkZLNQalABshFkbzjl7sOy2+y9BH4crIe:7LksW7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6dc5469eb2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
c488ccc4c8e0cc00 |
|
VISUAL
wHash
|
00006c7c7838ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0080800458988000,cc92ccccc8c0e8cc |
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.