Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BA1E210A09ABB77346371DAF326FBD077884386C45B0B9952FE92A52EE1E019777029 |
|
CONTENT
ssdeep
|
48:tJPBu6rVzzj8c3UBtCTGC1GHC9oCYPajq5Nb3ACipCwCpCkpCrpCGpCrgecG1k3z:v5u+P7TGAM7A/bpAreP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
990826778cdc7373 |
|
VISUAL
aHash
|
0000081818ffffff |
|
VISUAL
dHash
|
110d32b2b21da251 |
|
VISUAL
wHash
|
0000181899ffffff |
|
VISUAL
colorHash
|
00000000cc0 |
|
VISUAL
cropResistant
|
8696f292e8737dfd,110d32b2b21da251 |
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 592 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)