Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BD1C7246121627B3B33298575BAFB2D64C0F744C506FA9477FA20FA2AC1DF98684771 |
|
CONTENT
ssdeep
|
96:vOWbYrFkSrUU1KO65xhsPSPUmqxYutydsOzvPCEXdsO2vPCqEIdsOlEvPCGy2GXQ:CrFkSA6KuJtxYu41az9XLc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2cc33999966cc66 |
|
VISUAL
aHash
|
e7e7e7ffffffe7e7 |
|
VISUAL
dHash
|
0c0c0d0c08004d4d |
|
VISUAL
wHash
|
24242424fce4e4e4 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
0c0c0d0c08004d4d |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.