Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1717362EC411104B7D1178CDBB931270E609AC26DCD0ABDA9EFA853D76FE6E90580A74F |
|
CONTENT
ssdeep
|
768:6OnnKnGgg1OMzxDDoxDD6xDDZ49vbbWRV34ERbV34ERPXId80DAWns74h254mnYb:6/g1/M+U3G+zl0y1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0d46d1bb3e0e8ca |
|
VISUAL
aHash
|
0206f6c77d010043 |
|
VISUAL
dHash
|
b664a48c9dd9a682 |
|
VISUAL
wHash
|
4286f6c7fd0d3063 |
|
VISUAL
colorHash
|
31c00000000 |
|
VISUAL
cropResistant
|
b664a48c9dd9a682 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.