Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F7363347901686630EF4ACFE273798E2284EBC6C99619D9C6F0471469F7CA1FED12D8 |
|
CONTENT
ssdeep
|
384:uWJC2aum6DD/gTqaZBSwr4a7a3pGQa7a3pG9va7a3pGPa7a3pGt1ca7a3pGHa7aJ:1QP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efd0376bc40c3649 |
|
VISUAL
aHash
|
e0fef7fff1810183 |
|
VISUAL
dHash
|
491884a70307332f |
|
VISUAL
wHash
|
e0ec67fff1810183 |
|
VISUAL
colorHash
|
060000180c0 |
|
VISUAL
cropResistant
|
4818a4a70307332f,000040d0d0c04840,d7d5a49465a56565,0000010101010000,9d6064c424a46425,1183065232306127 |
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 581 techniques to evade detection by security scanners and make reverse engineering more difficult.