Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1263220343002386756275AD1F4B24F0D2117833AD6851E68B3E95BBA6FCECF4A9727A4 |
|
CONTENT
ssdeep
|
192:U5bngLCbetbgS9VCw30CtPJQZQmSQm3QPa8VYVIvErEFZ5LfiQLfcLbLfNLVLfdq:WnYMw1PCSmJmgPpeUFZ5LfiQLfcLbLfI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa81817a7e855a6a |
|
VISUAL
aHash
|
ffffffff0000ffff |
|
VISUAL
dHash
|
8c88b0804d4d8e01 |
|
VISUAL
wHash
|
00ffffff0000ff00 |
|
VISUAL
colorHash
|
06038000040 |
|
VISUAL
cropResistant
|
8c88b0804d4d8e01,4fceb0a04424d074 |
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 275 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)