Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BB38B33411935274437C6D530A55B3BD2A69A4FFAE70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:zSky5NJ6jmLz4NP3+mZY9svblTOCVr0GG5hRLVCZFtiuCa28y2OZL:Z6Lz4NP/y9svbliCd07qFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc38ed43c74a |
|
VISUAL
aHash
|
00006020000024ff |
|
VISUAL
dHash
|
c08cc8c2c2ccccc8 |
|
VISUAL
wHash
|
0064fc707004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,c48cccc8c2c8cccc |
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.