Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11573B9F1775CC85CA0075BDACBC5A494230FF1EEA52A018C739C3A750AA39E9F86B715 |
|
CONTENT
ssdeep
|
1536:f1fHTQGRpwQ/ytO1neopNcppNcpNcpex4TpXQQEym:ZytO1eopNcppNcpNcpeL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1d41e3b6a341a7 |
|
VISUAL
aHash
|
000000ffffffff00 |
|
VISUAL
dHash
|
f232d02b2a2aabe4 |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
008080e0e0810000,502b2b2b2b2b2352,0c32b230b2321008,12a5a584a5724032 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.