Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FB531BEA38956016477340E394BF2A8AB7391C2FB91C45D1A0B4CBE571F84F5602BF4B |
|
CONTENT
ssdeep
|
768:8yWuP//u11WyLusLl5UCS/9ZD8n+zVaSxB5SvKMRWFSFoAX8Up4dOtKsojdxjPyw:VnwkgyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32e6e4e1b2e660a |
|
VISUAL
aHash
|
00e7c7efefe7e7ef |
|
VISUAL
dHash
|
051c0c1c180e1e1c |
|
VISUAL
wHash
|
00c3c3cfc7c3c7c6 |
|
VISUAL
colorHash
|
07081010000 |
|
VISUAL
cropResistant
|
051c0c1c180e1e1c |
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 694 techniques to evade detection by security scanners and make reverse engineering more difficult.