Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161647C234259792A4437C3D134A99B3BD1A6DE8BFAA70A010FDCC7F72AF9C60745A11D |
|
CONTENT
ssdeep
|
1536:ZYUgQmTa3MZo+Hd1+J0bRUtd+Smfu4/ZT4oU5yG0MmKIwmvSpO5CmBPR+D0uvw9B:uOQ3tWfQPl4YHt5gvK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9ec183ecc13 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3f1f3b |
|
VISUAL
wHash
|
0064740466ffcfcf |
|
VISUAL
colorHash
|
3220000000b |
|
VISUAL
cropResistant
|
18073f1e3b3b3b3b,a8c5cdc8ecc8cccc,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.