Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE4212A29509A93F1363C7D4B3B2A65BF641D58ADCC2014AD1F5E35D2FE3D61DC0A212 |
|
CONTENT
ssdeep
|
96:DcI6HUnoGyPs44mGjZzmUK4yYey4qEE8A6RmwGgjdEkWuhJaVAtBF5ejaGSr4dit:wIOnFbOxHnwtrLvCkpm5cTBrhKq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e6161616c1e94 |
|
VISUAL
aHash
|
80809c80ffffffff |
|
VISUAL
dHash
|
2b38303003202024 |
|
VISUAL
wHash
|
80809c80cfcfcfc7 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
2b38303003202024 |
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)