Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154C2747261002A3F429783C97762F72EA2E392C9EB47091656FC835D8FD3E90DD1752A |
|
CONTENT
ssdeep
|
768:mSCy5Nvezy2RmJcJe2R1gQ7sOy2+y9BH4c1Ie:gzy28H2Hp7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b038dc4cc6c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c49c2e0c9c9d500 |
|
VISUAL
wHash
|
00ed7030340cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,1c09cae0e0c9c9d5 |
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.