Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF2A571B2002A3F419BC3C9B361B72FA2E39249CB4A051652FD535D4FB7E92DD23929 |
|
CONTENT
ssdeep
|
768:0Ky5NH2uQ+n+VYqrIAN5rxKbY7sOy2+y9BH4crIe:Tu5SMqrp7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33abc47c631c5cc |
|
VISUAL
aHash
|
000000003000ffff |
|
VISUAL
dHash
|
1d19d9c8c0c8c300 |
|
VISUAL
wHash
|
008d0c2c7870ffff |
|
VISUAL
colorHash
|
3ac00008400 |
|
VISUAL
cropResistant
|
0280800270908000,151939c8c8e0c9c3 |
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.