Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A235B726732B4B843DB91EDF7382D46B2C2988DF9C745A4B5C45A8E13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aSBeBBBl+EsZx8/G8UE4JDawuM5B+wZM5BvwzqN2/y9dGDUDF1E56ITmH+LXPnTs:at+EsZ/8U/JDawuM5B+wZM5BvweN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea729ada6c689a92 |
|
VISUAL
aHash
|
bde7c3c3c3e7e7ff |
|
VISUAL
dHash
|
71490f17174d4d03 |
|
VISUAL
wHash
|
8de7c3c3c3c3c181 |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
71490f17174d4d03 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)