Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDB34271B511DC37019B60C556304F1A23E6E359C61306C9AAF4C3FDAFCACAAEE23658 |
|
CONTENT
ssdeep
|
3072:6kCRovVol9VefAwrWlVefS1e24qxvThybSxfm7x:jCOvVo224qRwSq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9e722ed82bc88b6 |
|
VISUAL
aHash
|
ff00ffbd3ddb0000 |
|
VISUAL
dHash
|
c4d4337171b22b55 |
|
VISUAL
wHash
|
ff22febcfe980000 |
|
VISUAL
colorHash
|
07003000180 |
|
VISUAL
cropResistant
|
0000000000000000,d4d4337171322b55 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.