Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF53C6206302B76A6C334F74F34A70AAC1DE9344E9E6B82DB359935530D3179CB4BDA9 |
|
CONTENT
ssdeep
|
1536:DmG0wA3ins+OKOOKfW3E4tvfwYFSDq8Z7U1c/jDUYJ7w5oOei:2KOL9kYJ7uh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1319a9a9b71319b |
|
VISUAL
aHash
|
ffc3c3c3ffffffff |
|
VISUAL
dHash
|
1a0e969614000060 |
|
VISUAL
wHash
|
8383c3c3c0f0f090 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
1a0e969614000060,b2f4f869dbe4f8e1 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.