Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T186C29571A1403B3B12ABC3C9B351B71EE2D3824DD789081553FD4BAE4BE6E40ED6356A |
|
CONTENT
ssdeep
|
768:rSXy5NfqCPY3rJvUPcejx6CoGx47sOy2+y9BH4crIe:YCPY3rJvUX0Co+47sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
976bfd32d06d8482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4dc3c3cc6cb600 |
|
VISUAL
wHash
|
80f571300c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,140dc3e3c3cccc36 |
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)