Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F3384B294B1813316DDF6E0B565172F7A83874BD9420FA2DBFE02589D86C81FE33469 |
|
CONTENT
ssdeep
|
768:O/OLnub8NZ6D8bW6vJCdUUH3LdBbdA/2A/l:O/OLub8e6v63LuJl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b1becc32475306 |
|
VISUAL
aHash
|
ffff202038383000 |
|
VISUAL
dHash
|
49a6cac8e0f0e4e0 |
|
VISUAL
wHash
|
ffff68643c383800 |
|
VISUAL
colorHash
|
39002200040 |
|
VISUAL
cropResistant
|
49a6cac8e0f0e4e0 |
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 11986 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)