Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E2953270209A3B81E782C9BB627F2DA2E34249D7450455C6FD83F95FA3E18ED33695 |
|
CONTENT
ssdeep
|
768:OerTyppnSaXDeOwA86y1vU7/uY7sOy2+y9BH4cLIe:hyppfXa6yB4/uY7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34bb53ad02cbc9a |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
48c8c0c0c888e100 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,48c8c0c0c0c89ce0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.