Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF82735221084655C2F38CE8A8117A457182D74FC87196B0C6F84E7B1BE2AB1B7DDFBE |
|
CONTENT
ssdeep
|
384:mgSDSeSBOFyGyP9bqKOphAwWp8LXbvK9BG0:aObfOGa0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fdff5f7ea0808080 |
|
VISUAL
aHash
|
8080ffffff000000 |
|
VISUAL
dHash
|
0606f196966a9606 |
|
VISUAL
wHash
|
f780ffffff000000 |
|
VISUAL
colorHash
|
1e000010180 |
|
VISUAL
cropResistant
|
0600401871969668,80808c8c8c8c8080,b2404e0648120068,100c32b2b20c1000,0002020606060602 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)