Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109435F30A440EA2341D78AD69136A729A2F68705C55395CAFFF4C3F94BEED68DB33604 |
|
CONTENT
ssdeep
|
1536:EbEu9M2cysIxgExLq7t6qqt6fqMi41ggjhwZ1H371:BUM2cy9Mil71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88eae58593c4b3da |
|
VISUAL
aHash
|
ff01000f0f0f0207 |
|
VISUAL
dHash
|
e6a335d5fdfff65e |
|
VISUAL
wHash
|
ff01050f1f1f130f |
|
VISUAL
colorHash
|
06407000000 |
|
VISUAL
cropResistant
|
84c488c1c0a727a7,b233b2e2ebeb1818,4a8cceee6c6fee6c,7c7c6c6ebf9feee8,a335d5ddfdf6e65e |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.