Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0647C234259792A4437C3D134A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C60745A11D |
|
CONTENT
ssdeep
|
1536:9UgQmTa3MZo+Hd1+P062CSd+Smfu4/ZT4oU5yi0q7KIwmvSpO5CmBPR+d0jggYAl:9OQv62HfQnq74YfJY35gHWk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba46b9bc4239e456 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
9ccdccc8cc3e1a3b |
|
VISUAL
wHash
|
043424048fffcfcf |
|
VISUAL
colorHash
|
3220000000b |
|
VISUAL
cropResistant
|
80363e3b3b3a3b3b,8c1dc5c8ccd8cc2c,0100000000000000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.