Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC1A7F0845B1491522BA2B2F0955A0E9D734F8EF3461926EAF6095FE380D50DF932F5 |
|
CONTENT
ssdeep
|
96:NrS8209TBn9YLfqtdMrL2LmMMLk97722pj30byZzJOQXfaqjY2gYu:B5X9T/M/e7MLkp722pj30czJOQvxkYu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d998666672999972 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
8c32b2b2b2b2324c |
|
VISUAL
wHash
|
fef8f8f8d8989800 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8eb8be8c33b6a68e,8c32b2b2b2b2324c |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.