Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A24223B2945495371363CAE9A3B6B64FF7818585C8C6004FD1F5D35C2FE2EA1FE1A206 |
|
CONTENT
ssdeep
|
192:iGi7MTxBnFbOQ+v73wtElDFMm/dcv00/prdM5cTBrZi5:xFC5aEoy0p4IBFm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de5e6161617c1e94 |
|
VISUAL
aHash
|
80809c9cffffffff |
|
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)