Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139A38933411935274037C6D530A95B3BD2E69D5FFAA70A010EECD7EA2BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:FNLz4NP/y9svbliCdq72lb5FtiuCa28y2O9:PmA7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab01cbc6d |
|
VISUAL
aHash
|
00700000000030ff |
|
VISUAL
dHash
|
c8c3c3c8cd0bc1f0 |
|
VISUAL
wHash
|
74f3712c050178ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080812030808080,88c3c3c8cdc9c3c0 |
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.