Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189527333A500ED2A8E9B91C8F2C495CD505DC345FB3148CAB6A491BF7BC5DF129A83AD |
|
CONTENT
ssdeep
|
192:d13Jcd1XsksqsEs5QmqU6QxrKEWMcnthWeNWbuXUK6dXVfMmUU8VCoqS:a1839X5Qm/xKEgXULdXVfMmUFCoqS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbebb0c48734f434 |
|
VISUAL
aHash
|
f9f9f9b9f8f800fe |
|
VISUAL
dHash
|
6363236343001112 |
|
VISUAL
wHash
|
f1f1f030f0f000ff |
|
VISUAL
colorHash
|
07c00200008 |
|
VISUAL
cropResistant
|
0363636363434001,1000100000000000,490111ccc4d60905,0000003430123230 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)