Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0C2A532B100273F429783C97321E32EA3E352C9D746191552F8976D8FE7DD0DA2792A |
|
CONTENT
ssdeep
|
768:vBe/y5N7InBk/gyX2ja37sOy2+y9BH4crIe:26Z2m7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b8389c4dc3b3 |
|
VISUAL
aHash
|
000020200000ffff |
|
VISUAL
dHash
|
444ccce6ccccc300 |
|
VISUAL
wHash
|
00eee6702400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,c44cccc6e6ccccc3 |
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.