Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7D3EAB05148B53D361347CDB163F766609E726FCB204D84A3BC9175D3C2DF898ABA8A |
|
CONTENT
ssdeep
|
768:uEdBt+GGsTlO7kYX+YXkYXoYXzYXGYX7YXrYX1YXOYXgYX9YXjYXUYXlYXOYXPYH:uuBkqlNwakmViamZ4/Ab5tIg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed92cc6d92c76c30 |
|
VISUAL
aHash
|
ffffffffc3c3b312 |
|
VISUAL
dHash
|
239e866996967676 |
|
VISUAL
wHash
|
fbffe7e7c3000010 |
|
VISUAL
colorHash
|
07006600000 |
|
VISUAL
cropResistant
|
239e866996967676,47c6c6f042408387,0f42d161465c7c64 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)