Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A37A33411935274437C6D530A95B3BD2E69D4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:5SLz4NP/y9svbliCdQJVB/dTpTFtiuCa28y2O9:+mAFE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53a961ebc49 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3ccc909c1f0 |
|
VISUAL
wHash
|
64f3793c050170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
1080812030808080,c8c3c3c0cdc9cbc2 |
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)