Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAB34C753588B57B25B303D350AB6203B379451F540E0D30B764EEAE66ECC9AA067ECB |
|
CONTENT
ssdeep
|
1536:xXst41TUfQXQfb0Qvv3o2h2wV9IiBvtVPTMn56QPvuomDIDM83:xcK13X8VMAIGvnAPBmDIN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7334c3c7c9c30f1 |
|
VISUAL
aHash
|
002c3c7c6c3c3c30 |
|
VISUAL
dHash
|
c4c9c9e9c9d464e0 |
|
VISUAL
wHash
|
023c7c7c7c3c3c3c |
|
VISUAL
colorHash
|
38000000006 |
|
VISUAL
cropResistant
|
c4c9c9e9c9d464e0 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.