Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128C221B4116157AF8887EEE4266CDB7DA1C4879DCE77CB0BF3E863455BAACC27940210 |
|
CONTENT
ssdeep
|
768:KMz5c7q8mjjM7cWSRlixZg5qn5ngnGn2invnCnEAdZoFA4WMxzJJOA+xVmC8H:KMBWoATgGTvCtZlMV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd2b4b5c1b3716c |
|
VISUAL
aHash
|
1f37113f1b131313 |
|
VISUAL
dHash
|
b665616377666ee6 |
|
VISUAL
wHash
|
1f3f013f3b131703 |
|
VISUAL
colorHash
|
39006000001 |
|
VISUAL
cropResistant
|
b665616377666ee6 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)