Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FE2A772B0407B3B425392CAF290A75A63E2834FD74A055263FC876D0BE3E51ED2775A |
|
CONTENT
ssdeep
|
768:NQeXhShS2MF2kHlkOR+Df7sOy2+y9BH4crIe:lw8HM7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d342f9329c6996e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d8c8c4c2cc0cd300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4c4c3204,0080800058988000,d888c8c0d8cc2cd3 |
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.