Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17693853542001A3E622796E4F251FB79A1EDC385DE8F5D5CF27C41E12786CACDE2B688 |
|
CONTENT
ssdeep
|
768:CeuBt1SRr+4565c5Z5m5oIJeht66F+b9zdAjojZvfhrUKrU4Fjebdxz96z28zjRJ:02Ry4Yq74yeenktvJNrOb/AFxlQcHcza |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3e36c6c388c6cc3 |
|
VISUAL
aHash
|
606c6c6c6c007e3c |
|
VISUAL
dHash
|
c4c9c8c8d9c8d4f0 |
|
VISUAL
wHash
|
766c7e0e6c007e3c |
|
VISUAL
colorHash
|
30600010000 |
|
VISUAL
cropResistant
|
c4c9c8c8d9c8d4f0 |
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 106 techniques to evade detection by security scanners and make reverse engineering more difficult.