Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194B37933411875274437C6D530A55B3BE2E69A4FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:xDjLz4NP/y9svbliCd9fMPZfFtiuCa28y2O9:F/mAFRE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f9329d699647 |
|
VISUAL
aHash
|
00007000040460ff |
|
VISUAL
dHash
|
d8ccc4e2ecccc3b8 |
|
VISUAL
wHash
|
006c7030360effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4c4c4c2008,c004800158588090,d8c8c4c0caecccc3 |
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.