Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125B2E83171109E36415756E5B3FA975722E6E380DA420385D3ED83FD0BEAC64FA33689 |
|
CONTENT
ssdeep
|
384:+xjualX50IN+/RLxfqfgJezsW5TvDWnOkeSJR3r/TCIPkMQ:+xZGRqTb/keE3r/D6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
969669e93239e949 |
|
VISUAL
aHash
|
063e0e0e0eff0000 |
|
VISUAL
dHash
|
8ceccc8cec72cccc |
|
VISUAL
wHash
|
067e3e0e0eff7404 |
|
VISUAL
colorHash
|
0201e000000 |
|
VISUAL
cropResistant
|
5a5b45e67af81723,0024933224492240,8cccececccccecec,e4d8c8c498ecedec |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)