Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F930CB12259767F104383F0E718E52EA785DA8DD723CD86E3E8832795C9CDCBD2449A |
|
CONTENT
ssdeep
|
768:rQg3IlekE8yF8AZ+UDQu3ByiE8AuqVnMg3IlekE8yF8AZ+UDQu3ByiE8AuqVnofY:ly7fC0Igx08voUbKCOSsh0yO0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ec7c3d81ccc18 |
|
VISUAL
aHash
|
ff879f9fdfffffff |
|
VISUAL
dHash
|
432e3c34b8d43403 |
|
VISUAL
wHash
|
00001e1e5e1edfff |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
432e3c34b8d43403,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)