Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE2C452F3502B32025303ADF64067B6B2425398E34771AC6FE34EF96A62E99D93705F |
|
CONTENT
ssdeep
|
384:JRmMMqB5NdCVzX8YBCK6ENqpEZn8FONDcJqvpgiz3CQXtKy4tzi/LI:JRmMMqB5Gr4K6ENqmZHDHv+s3CQM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0c9cf65349831cf |
|
VISUAL
aHash
|
ffe7c7c3c3c3ffff |
|
VISUAL
dHash
|
33069e9e8e9e1c1e |
|
VISUAL
wHash
|
c1c3c3c3c3c3c7c3 |
|
VISUAL
colorHash
|
07600010000 |
|
VISUAL
cropResistant
|
33069e9e8e9e1c1e,fbf9db9bebcde6f7 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.