Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4A37933411935274437C6D530A55B3BD2E69E4FFAA70A010EECDBEA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:nDLz4NP/y9svbliCdLbcKd1FtiuCa28y2O9:fmA3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53a961ebc49 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3cccd0bc1f0 |
|
VISUAL
wHash
|
6cf7703c050170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4880812030808080,c8c3c3e8cdc9cbc0 |
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.
Pages with identical visual appearance (based on perceptual hash)