Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0234A726332B87843CBA1EEF7382A55B2D2559EF8C74550F1C95A8D23C3C846297BB4 |
|
CONTENT
ssdeep
|
768:a6voL+EsZx8/G8Lo4qDatDMXBOot0MXBOkwZUcix+y9dQpUDF1E56ITmHDLBABWo:af+EsZ/8LbqDatDMXBjt0MXBFwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92922d6c846d |
|
VISUAL
aHash
|
fff9f181819dfdff |
|
VISUAL
dHash
|
4d53733333391944 |
|
VISUAL
wHash
|
ff818181818d8dff |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
4d53733333391944,6e6c5c5f5dd70f13 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)