Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1925396738040362A121362D5F910B7BAD6878149DE3A0782BDF9C3993BE7E655C1DF2E |
|
CONTENT
ssdeep
|
1536:CRVxzrKHcEtS/eHlSYD/ZSnDLKdQmzIree+UqWmvCE0ojOn9GdjN:j3Qse+xL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ae3ae4dccc99d0d0 |
|
VISUAL
aHash
|
97000000ffffffff |
|
VISUAL
dHash
|
377fdd7f23272f07 |
|
VISUAL
wHash
|
01000000fffffff7 |
|
VISUAL
colorHash
|
06400e00000 |
|
VISUAL
cropResistant
|
377fdd7f23272f07,5b7b676c4e6e6f7e,5e51377f1e04e2e3 |
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 415 techniques to evade detection by security scanners and make reverse engineering more difficult.