Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B73321319454EE33818B95C4A2B7771B62E98346CA030689F9F4C3B90BEFCA9CE77554 |
|
CONTENT
ssdeep
|
1536:+pS9+XsIxqIeregeeeegeeereeeqeeeVpm7m:j+Xdpm7m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2e56d3a1bc1c494 |
|
VISUAL
aHash
|
c0c0f2ecccf4e4c0 |
|
VISUAL
dHash
|
0206c6c808cc8d03 |
|
VISUAL
wHash
|
e0c0f2feccf4e4c0 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
0024cae39e4e2542,958da92b56561727,0206c6c808cc8d03 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.