Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A37A33411935274437C6D530A55B3BD2A79A4FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:zBsLz4NP/y9svbliCdYuPJFtiuCa28y2O9:1ymAWq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762f53a9528d52a |
|
VISUAL
aHash
|
00000000000001ff |
|
VISUAL
dHash
|
1cc4c6c2c8cdd3a8 |
|
VISUAL
wHash
|
00fff0302004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
2204a081185880a0,14c4c6e2c0c8cdf3 |
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.