Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160B30F23411975274433C2C1347A6B7BD5B6998BFAE70A010EDCC7FA6BF9C90742B269 |
|
CONTENT
ssdeep
|
768:PzsZtpR4nXF6YjOpSpFlTC6rrseBnQpdmbkhPFs1Jd2G:Pz+tpR4nXBKpSpFl26vh4PhPFs1JwG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9713e96d70e8e861 |
|
VISUAL
aHash
|
0004040400ffffff |
|
VISUAL
dHash
|
584c4c8c4c2e002b |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
06000200c00 |
|
VISUAL
cropResistant
|
4d58d86c91909060,0000408080400000,000041a121410000,00204080a0004080,8a9216b05a4a8c8c,2c000956562b2b2b,d35ccc4c0c8c4c0e |
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.