Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C33C67394482C77423B93CA74C9B757B782D20ECE52640AD3F583BA9FC3D11AA56329 |
|
CONTENT
ssdeep
|
768:96gyV4411kKUzSjBxChpxQhuXWbfLWdJk05CrXr015Z6:96gyV441iKUzS1xexQKM05yXr015Z6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b8934b1c58a7ca |
|
VISUAL
aHash
|
ffffff0010303034 |
|
VISUAL
dHash
|
710cccb0e0e0c4e4 |
|
VISUAL
wHash
|
ffffff0010303034 |
|
VISUAL
colorHash
|
07406000000 |
|
VISUAL
cropResistant
|
710cccb0e0e0c4e4,40a24040a0109240,7beff37566343f1b |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.