Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196A3CB23421935274437C2D134AA5B3BD1A6999FFAE70A015EECCBFB2BF9C90741B119 |
|
CONTENT
ssdeep
|
768:FsrnpNtpR4nXF6YjOpSpFlTC6rr7vmDir6iXrjEY9pu92:Fsrn/tpR4nXBKpSpFl26vuimOkz92 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfe0971899c7c2b1 |
|
VISUAL
aHash
|
fcb1717111143fbf |
|
VISUAL
dHash
|
6063c3c3f36d6278 |
|
VISUAL
wHash
|
fcb1713111141f3f |
|
VISUAL
colorHash
|
1ec00048000 |
|
VISUAL
cropResistant
|
cba5b46d7939b4a6,6063c3c3f36d6278 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.