Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB71E06195406C530063499876B697EB60C1814ACB036A2106F88BAFFAFFCB5DC7C3E8 |
|
CONTENT
ssdeep
|
48:Y16P0BHcmnhTEJmuhYDH3CdYDHRiDHWfto/DHGdWDH3G2OfqDKOm/D6GxKY:aseummvYLhVqmHuGgY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf6b94733030c7c5 |
|
VISUAL
aHash
|
003838183c3c3e3e |
|
VISUAL
dHash
|
dc6161f0e061f4f4 |
|
VISUAL
wHash
|
0238bd3c3c3c3e3e |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
a4844ab396829a94,42ca81f084cca001,327263e294a60a67,dc6161f0e061f4f4 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)