Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129B20A7132500A3D25BBC3D9B172DB65614EF292CF82ABD4D2D882B940D9DB0DC9B2D7 |
|
CONTENT
ssdeep
|
384:DBzijTzY88z4zmGlmK/dNVq3Yd5Y22ZoivDbbRXknpqa7dgmb39pqTUGEIoE:1zwTzP8z4Bq3YdGG9RqlH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c3bcbca8a3c38a |
|
VISUAL
aHash
|
ff307c6000000000 |
|
VISUAL
dHash
|
1368c1d020400000 |
|
VISUAL
wHash
|
fffefefc00000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
1368c1d020400000 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.