Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DA38A33411935274437C6D430A95B3BD2A69E4FFAE70A014EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:DmXLz4NP/y9svbliCd05GIsFtiuCa28y2O9:6mAFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b53a9d28d163 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
1cccc6c2c8cdf1a8 |
|
VISUAL
wHash
|
00f7f2302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
2204a081185880a0,14cccec2e0c8cdf3 |
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.