Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC45E93C20414EBBA897C3F8F3B1AF5E625ED399C6075548A3F846663BC6C85CC152D9 |
|
CONTENT
ssdeep
|
3072:q9nD7Y4hIvzJ9exmnKALxmnKALxmnKALxmnKALxmnKALxmnKALxmnKALxmnKALxL:q9n+zJK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86365ab49678c6a7 |
|
VISUAL
aHash
|
062630267e76003c |
|
VISUAL
dHash
|
bc4cc4ccccecc4e8 |
|
VISUAL
wHash
|
0626747e7e7e203c |
|
VISUAL
colorHash
|
39200008180 |
|
VISUAL
cropResistant
|
a280a88e96b2a2a2,f2f9f4a2f97f4f5a,82928e8a8a8e8c82,3737466631610f92,6169792c571717ec,555555454559d8dd,4545167335b6b634,bc4cc4ccccecc4e8 |
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 99 techniques to evade detection by security scanners and make reverse engineering more difficult.