Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17292B6A65318A9BF94D7C7B87A3A7739921AC083E1F7408EE1DC8569E743C86DD13390 |
|
CONTENT
ssdeep
|
192:IxjxTvERxxxx/Jxxx7gxxxxYqf1ehMmp7+ft:Ixjx7Elqf1iMU+ft |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc0ad5a3f50cd5a2 |
|
VISUAL
aHash
|
7e000000ffffffff |
|
VISUAL
dHash
|
a67161614d043702 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
000082ccceb00000,d0d480b68480d4c1,0c0c162436360002,303271717161600a |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.