Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19F51213280C97F7303E6E2C06E6AF36EE1C254ABCE571A02C8E5560D9589FE6CD0314D |
|
CONTENT
ssdeep
|
48:1UyO7ETFtc+oALZ9ZOxZcBZZ4bcY3vSa2/GGX4uoEgO2OWNJsf:plL3WKITvSaJGo9EgO2OWN6f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c4c336c5b734c |
|
VISUAL
aHash
|
00ffffffffefffff |
|
VISUAL
dHash
|
3222322a080a0a04 |
|
VISUAL
wHash
|
00383c3cc0c0d0ff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
32323208080a0a04,00100c3232320c10 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.