Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A234B726332B8B843DB91DEF7383A55B2C2989DE8C74550B5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aztg+EsZx8/G8px4QADatUMmB6thMmBq7Ucix+y9dQpUDF1E56ITmHDLBABW8KPp:aztg+EsZ/8piQADatUMmB6thMmBq7UXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63710000 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63710000,cccc4cccbabe7260,40d2d28babd2d2c0,ecf1f151754c8826,fffff7f5c6fedfdf |
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)