Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EB3C7F0C874DE3B419352E052C66B9672E6A304C5D7131986FAA3A597BBCE0FD0B44E |
|
CONTENT
ssdeep
|
1536:OsRAKkk0yuws3B3XtGiyb9X8q1R8ueF9pSw5jc2NCxNw5t3ZqvLiXW1xpk/t/O/p:91qlyasvOrcZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f13166ce66316732 |
|
VISUAL
aHash
|
c3c3c3c3ffffffe3 |
|
VISUAL
dHash
|
8e9e9e966c189486 |
|
VISUAL
wHash
|
03030303000c0000 |
|
VISUAL
colorHash
|
06400030000 |
|
VISUAL
cropResistant
|
8e9e9e966c189486,e0121d061611c4a2,808801c80c0c0d0d,32721111336b6b2e,587978d232210586 |
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.
Pages with identical visual appearance (based on perceptual hash)