Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DA3DD23426975274437C2C0307A5B3BD2A6D99BFAE70D414EDCCBFA6AF9C90741A21D |
|
CONTENT
ssdeep
|
768:ImmtpR4nXF6YjOpSpFlTC6rrWcp8wS9KxNFYP3N7zOo:0tpR4nXBKpSpFl26vPokNE3oo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d22d2dd2926c6db2 |
|
VISUAL
aHash
|
0000e0fcfef4f0f0 |
|
VISUAL
dHash
|
0080828c8c800000 |
|
VISUAL
wHash
|
0000f0fefefcf0f0 |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
faf0c0e843c582a8,8080806060800080,80c0806060900080,0000a06060e00080,8000a080a0800080,0080828c8c800000 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.