Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111C2C671A050673B02ABC2DD73A1BB1E62D3828DCB4A181243FD837D5FE7E50AE23556 |
|
CONTENT
ssdeep
|
768:1e71LrxZ5xx+gPxYgEJa7sOy2+y9BH4crIe:mLrHPyg/7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3029439bc3cf5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce4c8c8c800 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
c080c80458988000,dcc9cccce0c8c8c8 |
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.