Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEB3E17151411E36442393E8FFA25B6F5321CA84DA470F4D43D882BBBDDFD68EE212A9 |
|
CONTENT
ssdeep
|
1536:Yjdk/8SmuTSqTgPWFRRF5mR0E6ia+z1y0u3UKYavFJjGBkyny14bSXs7bNN5Hcy5:YBY8SDSqKWFbE6P0phM8Htkr8dwgX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc33c72762c5728 |
|
VISUAL
aHash
|
383c3c3c3c3c0101 |
|
VISUAL
dHash
|
c9c9e9e1c9c9b36b |
|
VISUAL
wHash
|
3c7c7c7c7c7c0301 |
|
VISUAL
colorHash
|
07000018180 |
|
VISUAL
cropResistant
|
938b96c683519b92,e01696da9a2a3ab2,c9c9e9e1c9c9b36b,8d52929210872828,393092081a1a1a0a |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)