Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144133079A180A477862305C8A0213F7DF1E3931FCFA30904FBFD56D28BDADA5DA26456 |
|
CONTENT
ssdeep
|
768:bUPaEhtAbjpZVGLAUNqDKdY2XJB4maHbthSOiC61p:bUPddY2XJB4maHSRC+p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc344543474e1cfe |
|
VISUAL
aHash
|
00c79fffffffffff |
|
VISUAL
dHash
|
c43c302c0e120909 |
|
VISUAL
wHash
|
00879f9fe7ff8100 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
c43c302c0e120909,1141696969695101,4040404040404040 |
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 7325 techniques to evade detection by security scanners and make reverse engineering more difficult.