Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F033723691106E7B119382C6B7712F6EB3DAD249CB574669A3E8830D07D3E90CE39972 |
|
CONTENT
ssdeep
|
768:ElkFm+uL+I9mHcF6KypOr6m5ysX7PQcxw3gvz/JVIae25q:h0+uL+Iopt5sX7ocxwwvz/JVIX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f66cc93f9134c229 |
|
VISUAL
aHash
|
f0f0f086868686fc |
|
VISUAL
dHash
|
6427242c2c2c2c91 |
|
VISUAL
wHash
|
f0f0f0e6868686fc |
|
VISUAL
colorHash
|
03000008030 |
|
VISUAL
cropResistant
|
71301333233333c8,44d8c6c474647058,6427242c2c2c2c91 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)