Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178234BB26722B8A843DB91EEF7393D45B2D2489DF8CB4514F5C95A8D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aGKa+EsZx8/G8y4QGDaw/MDB7wlMDBcw9r82+/9dtZkDieE565TmHEnkvdhfVPq8:aGKa+EsZ/8FQGDaw/MDB7wlMDBcwh820 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3f3bc0c0c0c0 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
7f733d332b2b3d2f |
|
VISUAL
wHash
|
00009fbf9f83df83 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7f733d332b2b3d2f,fffffbf3fff3ffff |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)