Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150235B726332B8B843DB91DDF7382A16B2D6989EF8C74550B1C95ACD23C3C906197BB4 |
|
CONTENT
ssdeep
|
768:a/Xw3+EsZx8/G8z44DDaw5MIBvwzMIBpwZUcix+y9dQpUDF1E56ITmHDLBABW8K6:a++EsZ/8zrDDaw5MIBvwzMIBpwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efe296d9e00cb099 |
|
VISUAL
aHash
|
ffffe3e1d9999981 |
|
VISUAL
dHash
|
714d4f0333333333 |
|
VISUAL
wHash
|
ffe3e1c199991901 |
|
VISUAL
colorHash
|
06600440000 |
|
VISUAL
cropResistant
|
714d4f0333333333,1f07070747470747,0000000000000000 |
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)