Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EA39C23411975274437C2C1347A6B3BD1A6D99FFAE70A011EECCBFA2AF9CA0741B159 |
|
CONTENT
ssdeep
|
1536:px3sBtpR4nXBKpSpFl26voE/tGC/T0II4:IUMRogm00 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e13f1cd9e1e28d |
|
VISUAL
aHash
|
40c8f0f87854003c |
|
VISUAL
dHash
|
9891c3c3d0ad6048 |
|
VISUAL
wHash
|
c0e8f0f8fc7414bc |
|
VISUAL
colorHash
|
30200050000 |
|
VISUAL
cropResistant
|
9891c3c3d0ad6048 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.