Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174326033A600CC2A4E9B96CCF2C08589515DD345FB3148CAB2A491FF7BC0DF1699979E |
|
CONTENT
ssdeep
|
192:ybC3JqdTCisLGiA0YxFMcnthWeNWbJvLfMmUU8VCoFZ:kTCisLGjAvLfMmUFCoFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fcfc6a070354ab07 |
|
VISUAL
aHash
|
c0c3c3c20606060d |
|
VISUAL
dHash
|
3b3e3e3efefcfcf9 |
|
VISUAL
wHash
|
c1c3c7c70f0f0e0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
606060fa9a803333,fdfbf6e4d8b0e080,3b3e3e3efefcfcf9 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.