Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1139274782843783FA2C387F665765769B3C1C945CF738A4252F043AA9ED7DCACE12246 |
|
CONTENT
ssdeep
|
192:7ZlsZbbuUy/ByjhFIhluMO6a5vxNNZo3mTrpPBRyNoh7j8vEnHft:9wbbT9MeZBRyNohrHft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9612fd6d6db89206 |
|
VISUAL
aHash
|
0000040000ffffff |
|
VISUAL
dHash
|
14cdcdd8f1382032 |
|
VISUAL
wHash
|
00246c0420ffffff |
|
VISUAL
colorHash
|
07c00000000 |
|
VISUAL
cropResistant
|
6a666c6c60e0b08b,c831342b37773236,c438cdcdd9d8f069 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.