Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10702FF315146113F26130BD8E472FF7F31DBC38CEA622805AAFC5AE58BC6E889C75891 |
|
CONTENT
ssdeep
|
96:2268pgvoxJrbthRAJax9c92b/Nte25pxHt9fndu+Pg1ymhh2JH75+/osqeMIvaM2:22689JOax9c92bW2NPgUXhICt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66663399999999 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b0b2b2b2b2b2b2 |
|
VISUAL
wHash
|
1818181818181818 |
|
VISUAL
colorHash
|
31201000240 |
|
VISUAL
cropResistant
|
82f2f4dcda806541,7161d4d43ee278e0,b2b0b2b2b2b2b2b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)