Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CA38933411935274437C6D530A55B3BE2E6995FFAE70A010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:TELz4NP/y9svbliCdhDAdBXjFtiuCa28y2O9:OmAC/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361c53a964ebc6c |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3c9cd0bc1f0 |
|
VISUAL
wHash
|
70ff782c050170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,c8c3c3c8cdd9cbc0 |
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.