Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7832D20A944EC2B41CFAAC8A572567962B94385CA0306D8F9B6C3F55BEFC6DDB33044 |
|
CONTENT
ssdeep
|
768:GAsIx/jfIx/jsKE1tcRnSoykuX4wXZtRi/awK6Uf7SUt7N:JsIxLIx4KlnShZtM/VKl7b7N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e69ef08b9be091 |
|
VISUAL
aHash
|
ff20202060607e3f |
|
VISUAL
dHash
|
e4c4d4d0d484b0f2 |
|
VISUAL
wHash
|
ff74282060707e3f |
|
VISUAL
colorHash
|
000060000c0 |
|
VISUAL
cropResistant
|
80a480e4e4c4cce4,e4c4d0d0d484b8f2 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)