Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF2B8766100663F528783CCB322F72FE2E39289D64A051192FD879D8BE7E51DD23D29 |
|
CONTENT
ssdeep
|
768:K9y5Nns/KZNiBFHS+KMuxA7sOy2+y9BH4crIe:aJP7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76afc35b1128d8c |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
104341c9c646c800 |
|
VISUAL
wHash
|
80f0712c0232ffff |
|
VISUAL
colorHash
|
39600010008 |
|
VISUAL
cropResistant
|
4080800458988000,104143c9c8e6c6c8 |
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.