Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156734CB87501937499F703D7B0AE2279B37A461FB40D4570F359E9837CA84A7A0A3BC9 |
|
CONTENT
ssdeep
|
768:6RWYjjYcvrdsfwHSM+R4lv/6mIv69VzipsBqSzwH+aj+uQ1/y:cYcvr6f/+lvTQbQM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90690f93e53b64f2 |
|
VISUAL
aHash
|
181800187e7e7e7e |
|
VISUAL
dHash
|
327033f0d4ccc8c4 |
|
VISUAL
wHash
|
1818003c7e7e7e7e |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
327033f0d4ccc8c4 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.