Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168C17462115C5D37825283C8B7C2AB7EA2C38245CA581E1182FE97DE4BF7DE0DE6305A |
|
CONTENT
ssdeep
|
96:TeLs94zTiUawhYW+BJB7geuncfIQyHCHlgR61rBxJ5ehIMH1TpH:ZMTYveb4HvFehIk1Tt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92966d69927b9293 |
|
VISUAL
aHash
|
20003e2e3e0e0000 |
|
VISUAL
dHash
|
dda4ececccdc53f8 |
|
VISUAL
wHash
|
64567e7f7e1e0808 |
|
VISUAL
colorHash
|
31400006000 |
|
VISUAL
cropResistant
|
3666982633334dcc,dda4ececccdc53f8 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)