Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABD2A731A0105A3B42F782C9B7A27B2DA2E3828AD7451455C6FD83F94FD3E08DD37696 |
|
CONTENT
ssdeep
|
768:weruJ8LHNFgr7pmilpDmW66Ipnuc7sOy2+y9BH4c1Ie:GJ8LnCptt6/nuc7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bd3ab838f1a2 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
68c8c0c8c8c49300 |
|
VISUAL
wHash
|
007c6070fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,19e8c0c0c8c8c492 |
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.