Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9E2D930B1307537078395DD9F263759B2A1E299C7330A48B6F9C32D6BCBD99DE22624 |
|
CONTENT
ssdeep
|
384:+fZ6man81rFgizyci/izvcidizbci/4ZWInU2FPDM7kJOm0fbbgBU7YpYp+Nt:+3aCgEsEBEGI7/tbgBU7aYp+Nt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93d36c6c93919d92 |
|
VISUAL
aHash
|
c0c47e6c2c003400 |
|
VISUAL
dHash
|
0509dcd9491be4c4 |
|
VISUAL
wHash
|
e4ecfeec2c007e30 |
|
VISUAL
colorHash
|
380002000c8 |
|
VISUAL
cropResistant
|
0509dcd9491be4c4 |
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 513 techniques to evade detection by security scanners and make reverse engineering more difficult.