Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8D2B431A0102B3F12A783DA7B52F76EA3E35289D756090543FD835D4BD3E94DA2362A |
|
CONTENT
ssdeep
|
768:0SFy5NN0xLnWueXgdG57sOy2+y9BH4crIe:FxLnWueQdG57sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c373b83a9d2dc1c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1808c4c8c84ccf00 |
|
VISUAL
wHash
|
00e4f8203c24ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408c4c0c0cccccf |
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.