Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125939A23422975274437C2C1347A6B3BD1A6D99FFAE70A010EECC7FA6AF9C90745B119 |
|
CONTENT
ssdeep
|
768:8ktpR4nXF6YjOpSpFlTC6rrr6tpRYXmBCCcp0cXyb:/tpR4nXBKpSpFl26veXywCqcib |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cae49a32d1c5e6d1 |
|
VISUAL
aHash
|
7c31717078041c1c |
|
VISUAL
dHash
|
f1e1e7c3c12df8f8 |
|
VISUAL
wHash
|
7e797171f8041c3c |
|
VISUAL
colorHash
|
31006000000 |
|
VISUAL
cropResistant
|
f1e1e7c3c12df8f8 |
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.