Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAA36DE065C4FF2204F340D2708ADA66F3B91516FB5908A0BE5DCAC6B7D9C7712B72A4 |
|
CONTENT
ssdeep
|
1536:9rgyYO5m8tXTzZvObH9fbl5xyt+D1bzyAtzQ2N0msQw:9rgk0K+DlvnVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c79c9436b434a567 |
|
VISUAL
aHash
|
1e7c3800202000ff |
|
VISUAL
dHash
|
54f1e1f0c0c8c0c2 |
|
VISUAL
wHash
|
ff7c7c30202030ff |
|
VISUAL
colorHash
|
38006000001 |
|
VISUAL
cropResistant
|
a91616c9e5ad8842,54f1e1f0c0c8c0c2 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.