Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE4232A29419A93F1763C7D4A3B2A65BF741D18ADCC2014AE1F5E35D2FE3D71EC0A212 |
|
CONTENT
ssdeep
|
96:DcIaHUnoGyPs44mGjZzmUK4yYey4qEE8A6RmwGgjdEkCuh5aVgtBFJejaKSr4di5:wIunFbOxHnwtrPLekpm5gTBrFKq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe5e6161616c1e94 |
|
VISUAL
aHash
|
80809c80ffffffff |
|
VISUAL
dHash
|
2b38303003202024 |
|
VISUAL
wHash
|
80809c80c0c0c4c4 |
|
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)