Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACB2E8592280B83C075703CAD7D02A3EE1EB5386FA32F5BED1AD872A5FC0951DA73605 |
|
CONTENT
ssdeep
|
384:Yo5t0HOGxlWI3xCJVQjZfvPuDEuITysT9lyB7EbYkXRZyB:Y6AFlWI350EmE9lI7IS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4cb366b643b34c |
|
VISUAL
aHash
|
205b18181818180f |
|
VISUAL
dHash
|
ceb2b2b2b030317e |
|
VISUAL
wHash
|
62fb5a181898bc3f |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
f0f0f09090f0f0f0,ceb2b2b2b030317e |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.