Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1011E311555892B561392D069E6B35873D48AC0E78F170055EDD2F88FD0E2AC87B182 |
|
CONTENT
ssdeep
|
12:hRwgy3y7FUG9IgHtpr/NKDgg2c75M7BJj1Y8RZKe:hRhy3CrNCgo7WJRl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99993333333399cc |
|
VISUAL
aHash
|
0018181800000000 |
|
VISUAL
dHash
|
08b2b2b24c300000 |
|
VISUAL
wHash
|
1818181818000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
a2a2a2a2a2a280a2,08b2b2b24c300000 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.