Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EF231716040AA3316A391C69331170BB3E5F245CE332A85ABF987B86FE2EE5DC53745 |
|
CONTENT
ssdeep
|
384:8X6hlN0ZD3v3DdEzwyFKqCLKAKcCYkVKlCGKrClwqgOfJT:1Ah3DdEz3FZM35LkVwFiWXT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e081782f1f9f07f0 |
|
VISUAL
aHash
|
03e0666e6620c0c0 |
|
VISUAL
dHash
|
36848cc8cccb9090 |
|
VISUAL
wHash
|
83f27e7e6e60d0c0 |
|
VISUAL
colorHash
|
10000000180 |
|
VISUAL
cropResistant
|
90ccca81c449ca86,36848cc8cccb9090 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.