Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A62DE3E40496EFF0982F1D17A6D1F0F21C1B2C7CD5B8605ABF54F687AABDC4A986046 |
|
CONTENT
ssdeep
|
192:7cxST4Gxl93Yv7gc/wpJ4K1yhT3T1bT9GxTyTCUTsaprRORqItCGcxb:bnM7LIEKUXYzjsA2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b43cc6933886c7 |
|
VISUAL
aHash
|
5670707c7c707000 |
|
VISUAL
dHash
|
a4c0c8c848e0a0c0 |
|
VISUAL
wHash
|
56f0f8fcfc787000 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
a29c032b2b43a4a2,a28c332b0fc1a6a2,a4c0c8c848e0a0c0 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)