Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4A36833411935274437C6D530A95B3BE2A6994FFAE70E010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:Zziie/rLz4NP/y9svbliCd+hZxOAQFtiuCa28y2O9:imA9xOAT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362d538b52bb447 |
|
VISUAL
aHash
|
00607000000000ff |
|
VISUAL
dHash
|
9cc1c3cbcc2cc3f0 |
|
VISUAL
wHash
|
40fff371340030ff |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
d080c12030808080,dcc9c3cbc9cc2cc2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)