Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6844254B7D258B2609F41E294AC672A51C2FBEBC3450BC6B7B00AB447F98BD7C4E358 |
|
CONTENT
ssdeep
|
3072:Mdku8dslctNMqDlg96Am5d1HaA3MYbOq1e3nQXrF4G1ZoGkzF5Ai/sXMZUcMESiJ:Mdku8+yFhDVl7o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf1bc451444657c7 |
|
VISUAL
aHash
|
008f8f8f8f8fffff |
|
VISUAL
dHash
|
c01f393d1f1f3606 |
|
VISUAL
wHash
|
008f8f85858f87f7 |
|
VISUAL
colorHash
|
07001038000 |
|
VISUAL
cropResistant
|
8080c2c2c2828080,1a1d393d1f1f2606,d2b0a44c2c3b2d6d,387a9696d98f8ec6,80e4e0e4c20a2b0a,d77260ccccd69231 |
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 2546 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)