Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D53081311C82A1FC682378ED6403EA792FD9A58C67294386D7AC1AF4F83D6D857C1DB |
|
CONTENT
ssdeep
|
768:+SqsjuQz1qohs9ZEi4lzPx6MmYtblVibNPyWIZjDNhqyQxnKXN3/dGBfvI4ubve:Bz459Wi4lPmyWQjXHQxK9uqbe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9292926f676d71b0 |
|
VISUAL
aHash
|
2c3e5e3c20303830 |
|
VISUAL
dHash
|
c8f8dcd0cce0f0c4 |
|
VISUAL
wHash
|
4c3e7e3c30347c78 |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
58b07272f2f8ba9a,a4b4b56f625c9494,c8f8dcd0cce0f0c4 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)