Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105D25331A194763B42A7C3C8B730672EB2E3438DEB961A1663F943AD0BE7E14DD13416 |
|
CONTENT
ssdeep
|
768:Pe/GLMNJlX77ICi7HP7sOy2+y9BH4cLIe:G9H3W7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d352fc389969c1c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c0cc8c8cdcd8b00 |
|
VISUAL
wHash
|
00c4f8602507ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c0cccc8c9cdcdcf |
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.