Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197C122E0C514ED37471286C9E7FA6B0B77D1C359CB02194497F883AB67CAC60CA265A9 |
|
CONTENT
ssdeep
|
96:Tk5yjzeNQeSTgGH3ZoVFkyXcNwvFmeUKX45X/uYyJ:Q5yjzewkGH3ZoiUU/5XmP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5ca4e5e527b4456 |
|
VISUAL
aHash
|
0303030303030303 |
|
VISUAL
dHash
|
67cec68f9f460e86 |
|
VISUAL
wHash
|
232b63ef07e78303 |
|
VISUAL
colorHash
|
0fc00000600 |
|
VISUAL
cropResistant
|
abab8080a4a480a0,67cec68f9f460e86 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.