Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140327333A200DD2A4EAB558CF2C09989411DD349FB3148CAB5B491FF3BC5CF069A97AD |
|
CONTENT
ssdeep
|
192:5LB3JgdYYyW/Vqt+V6xL0McnthWeNWbe8YfMmUU8VCoLP:GYYyW/Vqo+q8YfMmUFCoLP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8f80f070f070f55 |
|
VISUAL
aHash
|
00c0c0c0c0010307 |
|
VISUAL
dHash
|
bfbfbf9fbf7ffeff |
|
VISUAL
wHash
|
00c1c7c7cf0f0f1f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
e2e0b2e2da26ded8,bfbfbf9fbf7ffeff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.