Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190B103B1914AE81F4461C2E49B7AF75997468244CB230F0553FC4BAE6EC7DA5CC231ED |
|
CONTENT
ssdeep
|
96:D9wWDCJifxjact3J0JtRCJkrt/JOvtYJWtuMrG4a6i/NXB:z+ifxjac3cPamnyKW4OG4BWXB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c62c91f19c0ed76c |
|
VISUAL
aHash
|
c3011011e0f47e7e |
|
VISUAL
dHash
|
0b1b65e9c7c8c4f0 |
|
VISUAL
wHash
|
e3011011e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,b2b2922798dcecaa,0b1b65e9c7c8c4f0 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)