Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D639570B1945A7F40D3C7F8A325EF2E51A8A2C9D52B4759E2FC53A23BC2C24ED52394 |
|
CONTENT
ssdeep
|
1536:92IIZX4cwt6UQngsZvdV+yOVNJZU66+hTKX:9IIeiHW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9947e438b9c859c7 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
33c0c0181819311e |
|
VISUAL
wHash
|
ff0070000c0dffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
921252002b3b30c0,190408003c3e1e1c,2c5252b23252522c,b8c0c0d018181919 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.