Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167A39A33411935274437C6D530A55B3BE2E69E5FFAA70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:+POJmLz4NP/y9svbliCd+/dzBiXFtiuCa28y2O9:yvmAP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363c53ab83cbc49 |
|
VISUAL
aHash
|
00600000000020ff |
|
VISUAL
dHash
|
c8c3c3cccd1bc1f0 |
|
VISUAL
wHash
|
74f7712c050170ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0080812030808080,c8cbc3c8cdc9cbc2 |
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.