Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F1C734458EA137823353C0AB9FBF5BF1C44244E12BE98695ED4FA90FCAD44ED69D24 |
|
CONTENT
ssdeep
|
192:OwZTyFCWgWYYKEOfFenzg+ea2Yq5WBkfWiDMwOgKvIM+F:Owhy4CAfCEAKmA5MhTvIMc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c687333939393c |
|
VISUAL
aHash
|
207e3800007c183a |
|
VISUAL
dHash
|
c9ece032ccccf0f2 |
|
VISUAL
wHash
|
217e7c00707e3e7a |
|
VISUAL
colorHash
|
30c00008000 |
|
VISUAL
cropResistant
|
30f0f0b474f6b3db,c9ece032ccccf0f2 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.