Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190B2B730A0916A3B40D3C7D8F3F5AB3A26D7430DCA47060A46FE973D4BEBD41AD66456 |
|
CONTENT
ssdeep
|
384:9ID1jsI1nk1kqp3MZOWwYHljP5X2QzAavSeJGPU1nebkaSWZNo1ZbrJ9ZgP9IYsU:9ID1jsI8p8tHZF2IAavBJGPU9ebka94c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3439632ac34eda5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8ccc0c8c8cc00 |
|
VISUAL
wHash
|
067c74306004ffff |
|
VISUAL
colorHash
|
39000008c00 |
|
VISUAL
cropResistant
|
8ccc00cc0c4c8040,d4c8ccc4e0c8c8cc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.