Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDE261719181A8378A1B6AF4B574AF5E329BC31DCF13090A42FDCAD65FE2CD1CD08669 |
|
CONTENT
ssdeep
|
384:XcY+CBal48aHJOTnx845MZnp4MAZzX/4BUjsPbDH+:sYHJOTnMZnp4M0sPbDe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc43b90c33a964b |
|
VISUAL
aHash
|
ffdbf3f3f3838181 |
|
VISUAL
dHash
|
4b37232363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4b37232363273b2b,7cbc9c7c64ecaea6,7c7f4359d9d9cdc9 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)