Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D326033B600CD2A4D9B558CF2C09A89515ED345FB3148CAB1A491FF7BC8DF069A93AD |
|
CONTENT
ssdeep
|
192:tyl3JYYcJcC3E9bEYuD5x6McXMcnthWeNWbpwVRwVfMmUU8VCorP:wcJcC3E9bu3c4wVRwVfMmUFCorP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cecece3111ce |
|
VISUAL
aHash
|
cfcfcfcfffffffff |
|
VISUAL
dHash
|
1a1a1a9a00180000 |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1a1a1a9a00180000,dc73f0e8fcfc7f7f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.