Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BC2F93171047A3712D382CEB3A1672EE1B38249D7850969E2FD836D47A3E98CF7751A |
|
CONTENT
ssdeep
|
768:Ony5Nso7aQppKWYS4rZmcKlPEKKW7sOy2+y9BH4cLIe:x7aQJYwEKKW7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec1c1c76c1e2c |
|
VISUAL
aHash
|
fb8f818fdfdfd9fe |
|
VISUAL
dHash
|
63393f3f35353390 |
|
VISUAL
wHash
|
b38f81838d8991fe |
|
VISUAL
colorHash
|
07030000200 |
|
VISUAL
cropResistant
|
63393f3f35353390,b232391a5b6d0e6a |
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.