Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6235B72A332B87843DB92DEE7382E56B2D6549DE8C74550F1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8pz0SDVSEMDBbSXMDBdUcix+y9dQpUDF1E56ITmHTCd3m6DPqDv7AE:a2+EsZ/8pzJDVSEMDBbSXMDBdUXx+y9V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc192c4e5c1 |
|
VISUAL
aHash
|
ff8181858d818181 |
|
VISUAL
dHash
|
0319450d49494949 |
|
VISUAL
wHash
|
ff8181cded81e381 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
0319450d49494949,1fdfcfade6ced060,4318868c888aca01 |
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)