Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AA38933411835274437C6D530A55B3BD2A69E5FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:sEwLz4NP/y9svbliCd5K6ZzHTFtiuCa28y2O9:EmAz7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43a9d28d563 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
1cccc2c2c0cdf398 |
|
VISUAL
wHash
|
00f7f2302004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
2204a081185880a0,14cccec2c2c9cdf3 |
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.