Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A38933411935274437C6D530A95B3BD2E6994FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:yFLz4NP/y9svbliCddi06LGjyFtiuCa28y2O9:mmAzk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53a964ebc4c |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3cdcd0bc1f0 |
|
VISUAL
wHash
|
64ff7034050178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,c8c3c3e0cdc9cbc2 |
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.