Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C273737211466E3F118382E1A71CF36AD382D609C7A7994A9BE8831B27D7DE0DD3E164 |
|
CONTENT
ssdeep
|
1536:+r86yhiDcoN0L4kX2vhym0g7Gs3bWR0AxVuz8Hl:TdHfybFWl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496f8 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
8ccbccd0cccc23cc |
|
VISUAL
wHash
|
00003c7e7eff81e7 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23620c,848fc9c3c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541 |
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.
Pages with identical visual appearance (based on perceptual hash)