Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B162A83112442A7E9A63CBA8F6657378B579C6D8C2379E1EF6FC007513C6D58C933298 |
|
CONTENT
ssdeep
|
384:8k8JkMLMuYyHYJEfbrV3+OlmVrmbHYJoEJ6MCzLuk:8k8JkMLvYqYJEfbrVxYVrmLY6EJnCzKk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d12cd13cd13cf13c |
|
VISUAL
aHash
|
5a1800000000006e |
|
VISUAL
dHash
|
b6303200000014c8 |
|
VISUAL
wHash
|
ff3c3c180000fefe |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
b6303200000014c8 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.