Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E3155319108D967024243D27FB27A4A62C38107FF720D4056F6C3AD5EF4A96CC7A48A |
|
CONTENT
ssdeep
|
24:kWtUVpTN/+TN/0AptZlDenvFZfsNNBzS9pBHwqQMfVFsl7awo3he0lm4:PUVpTNmTNMK3denvj2BzUBHoMfvs1Ra |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa57f1aa52a353a8 |
|
VISUAL
aHash
|
a4920e343101c3c1 |
|
VISUAL
dHash
|
4c367c6961638b17 |
|
VISUAL
wHash
|
bf9e2e3c350323c1 |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
fbf7ee9932e8d0a0,8aa29ccdcca280aa,4c367c6961638b17 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.