Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191748C234259792A4437C7D130A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C60745A11D |
|
CONTENT
ssdeep
|
1536:8SUgQmTa3MZo+Hd1+a0TwFld+Smfu4/ZT4oU5yh0kmKIwmvSpO5CmBPR+c03Mwbj:8SOQoTwFlfQwkm4Y4/85gQc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9cc1b3bc511 |
|
VISUAL
aHash
|
0000000004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3e1f3b |
|
VISUAL
wHash
|
006464046effcfcf |
|
VISUAL
colorHash
|
3220000000e |
|
VISUAL
cropResistant
|
18063f1e3b3b3b3b,b8e5cdc8cce8cccc,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.