Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B323033E600CC6A4D9B55CCF2C49689416ED345FB3208CAA1A091FF7BC5DF069A939D |
|
CONTENT
ssdeep
|
192:dJ3J2YcgcEcheViw76MzAMzfZxXSXMcnthWeNWbkfMmUU8VCo5:ncgcEcheVidM7rSPfMmUFCo5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0728f0fa71ff060 |
|
VISUAL
aHash
|
04c4c4ccc84818ff |
|
VISUAL
dHash
|
6c9c98989890f0b0 |
|
VISUAL
wHash
|
04c4ccccec5c1cff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
6c9c98989890f0b0,6260f2b2c07151d0,7fc98bcbcace7cec,e060c0c080000000 |
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.