Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BB3E136B1012E37107793E1EFA6674B73518A44DB5A0E4501ACC62BBDFBDE8DC252AC |
|
CONTENT
ssdeep
|
3072:NOaiSiXqD8JXFuhnLL3Sxu/l/RzNaMomyk:Jc9u1ixu/XRaMB |
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
|
07000010180 |
|
VISUAL
cropResistant
|
938b86c683539b92,e81696ca962a3ab2,c9c9e9e1c9c9b36b,291292d21a072828,393086181a1a1a0a |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)