Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D529497D204563A0F1301D5FA6227EFBA6581ACE7130FB429F8D23D2BC9E7196325C9 |
|
CONTENT
ssdeep
|
384:CcD186oxpECEpIa3hLSpECEpIa3hLSDs8F:fD18HxpECER3hLSpECER3hLSDpF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a97c82d628d7837c |
|
VISUAL
aHash
|
ffc3c1c381ffffff |
|
VISUAL
dHash
|
800f1717171720bb |
|
VISUAL
wHash
|
ff81818181c3ff0f |
|
VISUAL
colorHash
|
0f030000040 |
|
VISUAL
cropResistant
|
800f1717171720bb,2a16331733333332 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)