Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4C2B7326140263F51A3C3C9B362F72FA6E3C24EEB86490552FC935D4BE7E90D95352A |
|
CONTENT
ssdeep
|
768:5SCy5Nxo48zpMzjFgHEFdpUx97sOy2+y9BH4crIe:hdKddin7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363b43acc2cc4ed |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c2c0c9f98d00 |
|
VISUAL
wHash
|
80ef3030300cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,144948e0c0c9f90d |
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.