Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102C2B5B1A0147A3B4193C3DA7B11B31EE2E35249EB45081952F8C76E4BE7E64DE3361A |
|
CONTENT
ssdeep
|
768:8S5y5Nvt/H8k94YJIZfqr7sOy2+y9BH4cLIe:S/8kZGM7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43c9c2ccda3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
dcc8c8c0ccc7e700 |
|
VISUAL
wHash
|
00e470702433ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0480800458988000,dcc8c8c0c8ccc7d7 |
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.