Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4326133A600DC298DAB65CCF5C09989405DD345FB3248CBB1A491BF7BC5CF06AA87AD |
|
CONTENT
ssdeep
|
192:he3Jkdp0LZbxnMcnthWeNWbOib2taTfMmUU8VCogF:zpkfib2taTfMmUFCogF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e4f636378180c |
|
VISUAL
aHash
|
00ff9fdfffffffff |
|
VISUAL
dHash
|
0928342c0c200800 |
|
VISUAL
wHash
|
00070707e4fcfdfc |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2a3c340c08000000,0080002121218000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.