Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3648D234259792A4437C7D130A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C60745A11D |
|
CONTENT
ssdeep
|
1536:HZ/UgQmTa3MZo+Hd1+a0pad+Smfu4/ZT4oU5yh0kNKIwmvSpO5CmBPR+c0eXRDSF:HZ/OQopafQwkN4Y4e5gQm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9ec1939c513 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3e1f3b |
|
VISUAL
wHash
|
0074640466ffcfcf |
|
VISUAL
colorHash
|
3220000000e |
|
VISUAL
cropResistant
|
2f42d19191ad6e6f,18063f1e3b3b3b3b,b8c5cdc8ccc8cccc,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.