Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9A382BF32092E6F154352C0421CA668F3CADE0CE38ED696B76CC3867BC7DA09A35555 |
|
CONTENT
ssdeep
|
1536:ysCsq0kQHkI2YDZ+bqRO7WaO3gw7v0KtNFAI+mfHpJdV0UezNVTvS3W+xBTTmejJ:EQyf/JPEekiCt9DN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe9696b6e4 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
cc93ccdccccc2386 |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
c8c8d4cccc23279e,8cc9d193ccc8d4d4,4511456169614545,80454d7171454500,a54cc0c34922d998,94b4ad48d4265e58,54d3d39999982a2c |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.