Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCB28731F100363B4147D3D9F361E36BA7A69285DB46091542F9D3AC8BE7C90EB6362B |
|
CONTENT
ssdeep
|
384:ZgIe/y5Nhg1gOog8RFhrDtsKjOgtqZH9Q02q4Ybo86aIYsOy2+y9BH4cUUIe:2Ie/y5NhgaOr4h8L9LR8G7sOy2+y9BHB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9869c18c |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c4cc4c6ccccc300 |
|
VISUAL
wHash
|
00e6fe602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,844cccc6c2ccccc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)