Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D4157B4E0526533823B8AE261F1973EB6E3C259DD87110493FDD3E94BD9C90EE58851 |
|
CONTENT
ssdeep
|
48:Tx4RpDWH9O2NAXMJiiHFFrxV/im8pFrGfL813O8Y+aPy:ToDWdO2uGHHHxNSTj1+8YHPy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b99a466cc993399 |
|
VISUAL
aHash
|
ff183c18180018e7 |
|
VISUAL
dHash
|
8c286830684d300c |
|
VISUAL
wHash
|
ff103c3c382018ff |
|
VISUAL
colorHash
|
07001e00000 |
|
VISUAL
cropResistant
|
8c286830684d300c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)