Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15ED132E0C415DE37475385D9ABF5AB0B76D2C349CB03198093F883EB5BDAC60DA256A8 |
|
CONTENT
ssdeep
|
96:Tk+SzeFvMSfuSTCctu6GSS8ct7TuwvFJeICXcIHFwetXqz/1YfGJ:Q+SzeFdjWck681gxRUzduA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e399319586e49c6e |
|
VISUAL
aHash
|
ffc8e8f0f7efe0e0 |
|
VISUAL
dHash
|
585b51e86b4b4f4f |
|
VISUAL
wHash
|
efe8e0f0f1e1c0e0 |
|
VISUAL
colorHash
|
02200030000 |
|
VISUAL
cropResistant
|
585b51e86b4b4f4f,b2b4348c726254cd,ea9a86d6d6b49a05,3032b831465c99ac |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.