Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120A3CD23412935274437C2C134BA5B3BE1A6999FFAE70A401EECC7FA2BF9C90745B519 |
|
CONTENT
ssdeep
|
768:DBk7oiDtpR4nXF6YjOpSpFlTC6rr7e9+B3hYsfTd1pEenVI:DBk7ootpR4nXBKpSpFl26v4sfGCVI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e205b73e1961e6c6 |
|
VISUAL
aHash
|
00007070f8f5f1fd |
|
VISUAL
dHash
|
8a30c7d3d10d4549 |
|
VISUAL
wHash
|
c2007060f8f5f1ff |
|
VISUAL
colorHash
|
31c00010000 |
|
VISUAL
cropResistant
|
8a30c7d3d10d4549 |
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.