Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DE2B523A59C3837054306DEA221EFADB761B1A79A931609F2ECC35C5AE7CB1DF23445 |
|
CONTENT
ssdeep
|
768:qt9IIJr2l2OO8P2Ch5kYxdeFq4TwTX1v/xiiLkgzw:sIIAbzbVX1v/BLjs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c369c39cb1731c9c |
|
VISUAL
aHash
|
607030607e3c7e7e |
|
VISUAL
dHash
|
d8c2e2cae4e4ccc4 |
|
VISUAL
wHash
|
607070607e3c7e7e |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d8c2e2cae4e4ccc4 |
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.