Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180E2852092446A3E409342CEE7352B7EB3B591CAFB57058865EDC32CEBDAC85EC325D5 |
|
CONTENT
ssdeep
|
384:FeK5544o0S6Y6kBE68BurXWgg/2gl8EyaomKXmW69PHQpnBbv+2zI:L544pS6OBeBurmR8E+2x9Pw/+iI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c14f681fb1cee0c6 |
|
VISUAL
aHash
|
0060707c6e6e6e60 |
|
VISUAL
dHash
|
d0c8c7c8cccccc86 |
|
VISUAL
wHash
|
4860707e7e6e7e42 |
|
VISUAL
colorHash
|
38401010000 |
|
VISUAL
cropResistant
|
d0c8c7c8cccccc86 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)