Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128B3CF33421935270137C6D130A95B37D2A6DE4FFAA70B050EECD7EA2BE9CA1785711A |
|
CONTENT
ssdeep
|
1536:vIICIIIIIFtsfJPjQBN1WiJx2ylCuPGd+:RIqHlCXd+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e37d0c1c3963c6 |
|
VISUAL
aHash
|
00e1e7ff7f381818 |
|
VISUAL
dHash
|
cfcfcb9be5e3f0f0 |
|
VISUAL
wHash
|
00e3e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3e2ce8c988c8c,cfcfcb9be5e3f0f0 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.