Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178D29531A1205A3B41E781CCB7B27B2EA2E74249D646045496FD83F94FD3E08EE37B95 |
|
CONTENT
ssdeep
|
768:xerLT7ErgHfIlgqHcwYtjQUl6N9yQuk7sOy2+y9BH4crIe:+T7EwiYl6NIQuk7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c30a953af02f3cba |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c8c0c0c088c8c100 |
|
VISUAL
wHash
|
003c30f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
008080004c888000,69c0c0c0c8988cc0 |
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.