Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC234B72A332B87843DB92DEE7382A45B2D2549DF8C74554F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:ag+EsZx8/G84OlDVSqMwBfSIMwBZ3Uuix+y9dQpUDF1E56ITmHTCd3m6DPqDv7A/:ag+EsZ/84wDVSqMwBfSIMwBZ3Uxx+y9I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fac4edc992c4e4c1 |
|
VISUAL
aHash
|
ff8181858d818181 |
|
VISUAL
dHash
|
0319454949494901 |
|
VISUAL
wHash
|
ff8181cded81e981 |
|
VISUAL
colorHash
|
3a000e00000 |
|
VISUAL
cropResistant
|
0319454949494901,1fdfcfafe6c6d0e0,4398868c88caca00 |
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)