Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEB1D820A14C7A3EA71743E8F2D8762A121ED242DB2F5C2CF45912353286C99DA179EC |
|
CONTENT
ssdeep
|
96:lWXD8ZuueJHJDJi/hQZko8Xo308XZkBsCXoP6XBI5ZkJ93VjY4KHgIOmksQkN8:lWXD8ZuuedJDM/OP8Yk8JKYgBKmBlY4d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
937361c45ad2746d |
|
VISUAL
aHash
|
e001031f3eff7e00 |
|
VISUAL
dHash
|
c8cb8a787426e2ba |
|
VISUAL
wHash
|
e009421f3eff7f00 |
|
VISUAL
colorHash
|
31403010000 |
|
VISUAL
cropResistant
|
c8cb8a787426e2ba |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)