Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116E1B93054549C3761E389D857B6AB0B7389C396DA1B034A73F8DB1A9FEBD06CD12760 |
|
CONTENT
ssdeep
|
96:3G/K1fGzu2o3L+OVohTQbvCLFw6FvplRmEXrAMeP8WQM8BHhFAMrLG:W/qfG+rIFZow1hmMrLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c74f383398 |
|
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)