Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116234B726332B87843DB92DEF7382A46B2D6949DE8C74550F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:al+EsZx8/G8IaOdDVSUMiB2oSzMiB2k3Uuix+y9dQpUDF1E56ITmHx3naOhqePqK:al+EsZ/8IaaDVSUMiBLSzMiBN3Uxx+yp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef38c5c493e1c592 |
|
VISUAL
aHash
|
bd818181bdb9b9b9 |
|
VISUAL
dHash
|
5961454975656561 |
|
VISUAL
wHash
|
b9818181bdb9b9b9 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
5961454975656561,8280c19d9dc8c0a2,3623232301a1a1a1,d8c1c1c9f4c2c2c2,4f4d5a8b8f93938b |
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)