Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A1F210A099BB77346371DAF312FBD072884386C45B0B9512FE92B52EE1E019777029 |
|
CONTENT
ssdeep
|
48:tJPBu6rVzzj8c3UBtCTGC1GHC9oCYPajq5Nb3ACipCwCpCkpCrpCGpCrgecG1k3u:v5u+P7TGAM7A/bpAnP |
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
|
8696f1a2a8737dfd,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 271 techniques to evade detection by security scanners and make reverse engineering more difficult.