Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2D2A771B110AA3B1197C2CAB7A1E71FA1E3820FDA87095592FD83EE47E7D54CE23119 |
|
CONTENT
ssdeep
|
768:dSkZ3tl89Fu3w+H0iv7sOy2+y9BH4crIe:Xvv7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bc6de54696b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc8ccccc8e0cc00 |
|
VISUAL
wHash
|
00006e7c7038ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
6080800458988000,ccd2ccccc8c8e0cc |
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.