Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F83A4F8927287F68183DBF4B6A2FF6B2198531CD663D60957EC45663BCBC848C047A4 |
|
CONTENT
ssdeep
|
1536:g5IP5rJZIdkGEOkZHfXA4WvV6pIrFaZpJ0GtIap7ZIdkGEOkZHfXA4WvV6pIrFa1:gmZJOdkGEOktfXA4WvV6pIrFavJ0GtIA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dad86072dac8e62d |
|
VISUAL
aHash
|
c000bcbdff240000 |
|
VISUAL
dHash
|
a5b16068684c1208 |
|
VISUAL
wHash
|
c000ffffffe70000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
04fb9254d4d6974b,cbaba9eadec61626,2dea92d2ae8e3604,5a6a66b666b5b535,5a6a66b466a4b575,291917c6d6d6c440,9616186871cc4c0c,a5b16068684c1208 |
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 5990 techniques to evade detection by security scanners and make reverse engineering more difficult.