Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107B37933411875274437C6D130A55B3BE2E69A4FFAA70A014EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:VVLz4NP/y9svbliCdcm4MFtiuCa28y2O9:HmA+4f |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d360ed3e9d699441 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98c8c4caecccc3b8 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04208e86860c3008,c004800158588090,98c8c4c0e8ccccc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.