Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1314211B29405A53B1273D7D8B3B1A64BFB81818DCD82054BD1F6D35C2BE3D72EE1A215 |
|
CONTENT
ssdeep
|
96:DcePGK9HUnoGyPs44mGjZzmkK4yYeyaJqEE8Bu9gsVEwGgjd+kTiuh+yaVSvtBF5:wePGKxnFbOlCglrewt5Pv8pK85cTBrlB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c1e94 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
VISUAL
dHash
|
2b38303003202024 |
|
VISUAL
wHash
|
80809c80c0c0c4c4 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2b38303003202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)