Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D2A2716010373F12AB83C97751F32EE2E39249EB560C1693FD875E4B9BEA0D91352A |
|
CONTENT
ssdeep
|
768:6SFy5NJQ33e1ecpt9Fny20H7sOy2+y9BH4cLIe:n33eAU9c20H7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecd2d80c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0008ccc0c80d0f00 |
|
VISUAL
wHash
|
00ece0203c07ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408dcc0c0cccc0f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)