Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF234B726732B8A843CB91EDF7382D56B2D65889F8C74454F5C95ACE23C3C816293BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G8a4kDatTMmBWt7MmBu7Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt9:aU+EsZ/8dkDatTMmBWt7MmBu7UXx+y9+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8303fcfc3825e5e1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
f9f9cde9d9000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03003600008 |
|
VISUAL
cropResistant
|
00000c0c0c0c00ff,c400000000000000,fdf9fdcdcdede9d9 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)