Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16612F0E1C564E93B035345D8B7B57F4B73A1C3C8DF02094063F4926B9BDADA08A1599A |
|
CONTENT
ssdeep
|
192:Q7qTZY+gZgZ++nzYhhTyF9/l8iIsdVra003AacNXL9dlc:Q7CY+ww++zGTyF9d1jfra003lcx9d2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec931ae4c51b46 |
|
VISUAL
aHash
|
ffffffff0000ffff |
|
VISUAL
dHash
|
32124204079b0000 |
|
VISUAL
wHash
|
00dbf3f300003f3f |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
32124204079b0000,0000000006baba06 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.