Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105C2A5B29100263F118783C97761F72ED6E3A389EB46180552FD974D8BE7E90C91396B |
|
CONTENT
ssdeep
|
768:zSCy5Ne0OFp5mi0OKMpA2sY7sOy2+y9BH4cLIe:uOlZp57sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b038f928c6c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
0c49c0e0c1c9ed00 |
|
VISUAL
wHash
|
80bd7030300cffff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
0080802058d08000,4c09e0c0e0c9e9ed |
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.