Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178C2A37161506B3B43A3C3C9B2616F2FA2E38289E746051143FD876D0FDBE54DD2B92A |
|
CONTENT
ssdeep
|
768:eerNWbLrwqQ1lNwzD51wFx7sOy2+y9BH4cLIe:PIg6g7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343b432bc3c94ed |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
ccc8c0c8c8cccc00 |
|
VISUAL
wHash
|
06607070640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc8c0c0c8c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.