Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AE1B93054149D3761E389D863B5AB0B7389C396DA1B034A73F8EB1A9FEBD06CD12760 |
|
CONTENT
ssdeep
|
96:3G/K+Gzu2o3LyOVohTQbvCLFw6FvplRmEXrAMeP8WQM8BHhFALkLG:W/5GArIFZow1hmLkLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c74f3c3198 |
|
VISUAL
aHash
|
00cfcbc3f7e7ffff |
|
VISUAL
dHash
|
6297979707080200 |
|
VISUAL
wHash
|
00c1c181c1e7f7ff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
6297979707080200,630123195d29a9a9 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)