Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17573D8E1D804003B1663128A790ABE6E60F1C71BEFA159C4DFACCB7D7AD4CE359B5249 |
|
CONTENT
ssdeep
|
1536:DDNJMAPue4GSoPU0WeLEdpqJYwgc/204OVMVx6VaVmiBjvjM:9JMAWe4GzPNWeLAwJYxc/201VMVx6Va6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464cc9b9b9b9286 |
|
VISUAL
aHash
|
bf321208bbffffff |
|
VISUAL
dHash
|
67662598640b0b3a |
|
VISUAL
wHash
|
bd10100010fbffff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
67662598640b0b3a,b48cc181ae2ede6e |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.