Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122F151E1C555EE7B475385C9A7F1AB0B73D2C349CB020940D3F883AB9BCEC60CA655A9 |
|
CONTENT
ssdeep
|
192:QoHKheTeFanlWctJrVWQqWFBItu1H+mzYsuA:QaKQbnlR9VWQqWDItyelsf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8a1a7ca88b6eab5 |
|
VISUAL
aHash
|
ff00001c1c180000 |
|
VISUAL
dHash
|
8b9316b1b1392815 |
|
VISUAL
wHash
|
ff401a3cfc9c3c30 |
|
VISUAL
colorHash
|
01000038000 |
|
VISUAL
cropResistant
|
8b9316b1b1392815,cf0bc3733ba32d3c,18189cccf8e48d2f,d6d6461696a39797 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.