Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193E2B9327110363B019BD2CAB7A3F75AA2B39245E74A041192FDC3BD0BE7D64DA37526 |
|
CONTENT
ssdeep
|
768:HSky5NGiH4jR9i+rBjaeNp7sOy2+y9BH4c1Ie:GH47d7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed28c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9688c8c2cacccc00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d28cc8c2c2c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)