Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D4A3CD27412975274437C2C134BA5B3BD1A6DA9FFAE70A001EECC7FA2AF9C90741B519 |
|
CONTENT
ssdeep
|
768:e5nIStpR4nXF6YjOpSpFlTC6rr7+9Ihc4cP3RYYap2Fc:e59tpR4nXBKpSpFl26vK9lPhfFc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c365bc3ac5c7c2c1 |
|
VISUAL
aHash
|
f84070706804e8fc |
|
VISUAL
dHash
|
8292c7c3d24d4bc0 |
|
VISUAL
wHash
|
fee070707a04e8fc |
|
VISUAL
colorHash
|
30400038000 |
|
VISUAL
cropResistant
|
8292c7c3d24d4bc0 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.