Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8C36F20A20C5D3B505351E8F3A17F5E31CC8244D68A8B59D7FE872A5FC7E82DE664E8 |
|
CONTENT
ssdeep
|
1536:zIIPQS6Hn5amh0IIGIIfhaENHHg6lsb+7Gav3EAQEKIIPQS6Hn51mhwIIGIIkhax:DmhVhtPmh+hNE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b918d2e2c766e4e4 |
|
VISUAL
aHash
|
0f000000ffffffff |
|
VISUAL
dHash
|
e9b9b7fb4e4c1a1a |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
e9b9b7fb4e4c1a1a |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)