Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3D19631821C563A468BCA80E5F3AB9A75D5C34FC31B6DD4AFEC26276BC9DB14A84014 |
|
CONTENT
ssdeep
|
96:UMdtFMdj0Hqtov6BAZ6CIbOL/gABdJCEzc6qp7Ecc6qmWUhmpb79p/XKOr:UMJY0CBAyOL4srCEQdExNUhSPzxr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecaa949a56564b55 |
|
VISUAL
aHash
|
fff3f1f0f0f0f0f2 |
|
VISUAL
dHash
|
2d07632723230424 |
|
VISUAL
wHash
|
fcf1b0d0b0f0f0f0 |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
2d07632723230424,31314f655b763c72,9b190dc9dd65487e,0b636353152721bd,715951e103ccec76,033d674e4d0f0f4f,00bfc82060591969 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Português | Inglês | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)