Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1422133A500DC2E4D9B558CF2C09A88415ED34AFB7148CAA1A091FF7BC5DF069A63AD |
|
CONTENT
ssdeep
|
192:m8fZYYcCc8chBanEZWWVxcHRTMcnthWeNWbICA4fMmUU8VCoreA:TcCc8chBcEZeHr54fMmUFCoreA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666669999 |
|
VISUAL
aHash
|
00183c0018000000 |
|
VISUAL
dHash
|
0c32b20c20000000 |
|
VISUAL
wHash
|
ffdbffc30000f000 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
0c32b20c20000000,a05529e4d4f46545 |
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.
Pages with identical visual appearance (based on perceptual hash)