Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD32B5717010383F92DBC9FEF236AA415768E544E20A8F76ADAD53CD18C7918ED63624 |
|
CONTENT
ssdeep
|
96:iThzxuPCHuFwVS6iUSWiku8PJ/BHHMlFkn766ttF46AlyOP71cmd9Kea3+Avb5aX:bUJ/FtjQP72eAvb5aOAO7LS5BUZufL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
875958367389d927 |
|
VISUAL
aHash
|
00003b27273f777f |
|
VISUAL
dHash
|
88e4e2cbcdf6e6e5 |
|
VISUAL
wHash
|
00003b3f273f3777 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88e4e2cbcdf6e6e5 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.