Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152A2F927A30423360ED60645B6C676E6D76E80F8B30429B9185CC25F53E6939C77B7E3 |
|
CONTENT
ssdeep
|
384:MNrXCeLlrvo2qJVYydetMh58bndTLyajvK0SxwkYX0bNb+JH5W9:MN+6WYyd64ibnlGamo0BQZW9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3ce8a9bce896164 |
|
VISUAL
aHash
|
ffe7c3e7c3c7c7c3 |
|
VISUAL
dHash
|
280c860e0e1c0c0e |
|
VISUAL
wHash
|
ffffc3c3c0c0c0c0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
280c860e0e1c0c0e |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.