Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1586364B102866E3B208342D0876CD75AE3C3D70AC767955AE7E8539B27C6FE0DD39164 |
|
CONTENT
ssdeep
|
1536:dWrqq1jYtDc480Hvb35aV50HiR1PU01mx8RQ8Vi:r0uHuY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2416d2e96d497b9 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
c493ccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc234c0c,968fe993c0c8dcd4,4551657171694541,00454d7171414541,61999922d99b8764,a0a54147531b5818 |
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)