Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF63FBAA39587115076240E3A0FB2ACAF73A1C2FB91C55A1B074CBA571B84F4516FF8F |
|
CONTENT
ssdeep
|
768:SyWuPuW11y/5sMRWl8n+bcDMv1nUT9H+LC/uLSfMX/SHZn5qvSLjwqsczIFbKirO:oQ5A6XlWCPyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32275327726669a |
|
VISUAL
aHash
|
c7c7c7c7c7c7c7c7 |
|
VISUAL
dHash
|
0e1e0c0e0c0c1c0e |
|
VISUAL
wHash
|
c3c3c3c3c7c3c3c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0e1e0c0e0c0c1c0e |
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 478 techniques to evade detection by security scanners and make reverse engineering more difficult.