Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1402329326236BD6853DB50EEE73D3A4676C18849F8C78810B5D8269D23C7C9632977B8 |
|
CONTENT
ssdeep
|
1536:aSWHREBTjJeett0M7BMtGM7BqYXM7BQYBM7B4wZUXx+y9dQyDF1ZAU84HaXwe:aSvtOt+YVYXUUXxpDzHyl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd2d6c2dc26dc4c2 |
|
VISUAL
aHash
|
8181ffefff81c3ff |
|
VISUAL
dHash
|
172b080f082b2b00 |
|
VISUAL
wHash
|
0081e7e7e78181ff |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
172b080f082b2b00,2020a00a31caca11,0048364849324800 |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.