Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A647C234259792A4437C3D134A99B3AD1A6DE8BFAA70A010FDCC7F72BF9C60745A11D |
|
CONTENT
ssdeep
|
1536:kUgQmTa3MZo+Hd1+F0+2d+Smfu4/ZT4oU5y204EhqKIwmvSpO5CmBPR+/0FmYDSW:kOQP1fQX4V4YfN5g3w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba46b9bd4239cc16 |
|
VISUAL
aHash
|
0000000004ffcfcf |
|
VISUAL
dHash
|
b8e5ecc8cc3f1b3b |
|
VISUAL
wHash
|
0034340c0fffcfcf |
|
VISUAL
colorHash
|
3200000000b |
|
VISUAL
cropResistant
|
80363b3b3b3a3b3b,a81dc5e8ecc8cc2c,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.