Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A6261619108A93B6262D7D9F7B1B78BFB518689C9C6014FD0E6D30C1FE2DA1EC1A315 |
|
CONTENT
ssdeep
|
192:wNmnFbOf6YtwtQVZXGa1LtyhaIBGW/VpoOt5cTBrlN3e/:PFCfnUQVZXGa1LtyhLBvVpoOrIBRN3e/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e6961e01e1e90 |
|
VISUAL
aHash
|
80809c9effffffff |
|
VISUAL
dHash
|
2038343430202024 |
|
VISUAL
wHash
|
80800c8cfef0f0f0 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2038343430202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)