Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE6373721246AA3F108343E2871DE75AE3C6D60DCB675DCAA7EC831B27C6DA0DD36164 |
|
CONTENT
ssdeep
|
1536:e4O6gBuSZ6cbb0VQL21kO0UqR+0IxtSu8t:3y6MUqnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2502cbe96d696bc |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8c93ccd8cccc33cc |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c4c8d4cccc230c86,848ff393d4c8dcd4,4555457969610541,0045457171454541,9b1b08b57529b646,a5ad3626a2a04c80 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)