Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B235B726332B87843DB92EEF7382A45B2C6589DF8C74550B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:an+EsZx8/G8v64MDatCMmBCteMmBS7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDva:an+EsZ/8v9MDatCMmBCteMmBS7UXx+yB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
6d4d6d4d67716900 |
|
VISUAL
wHash
|
ff8081818180ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
6d4d6d4d67716900,cc8c4c4cbabef260,40d4c29aabc2d2c4,edf1f151754c8822,fffff7f5cefcdfdf |
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)