Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17181FFF006048C9D1BB6B5EED733BD858093A56FD56B4E6821E85D281EE0FB0C867B70 |
|
CONTENT
ssdeep
|
96:T9qREWfi9SfuDy8G8K8n8s8W7bKS1aRuutE/:hTuikfqBFp8zM91h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038cece3363ce4c |
|
VISUAL
aHash
|
cfc7c3cfcfffffff |
|
VISUAL
dHash
|
94b4969a9a304800 |
|
VISUAL
wHash
|
07030307c3cfcfcf |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
94b4969a9a304800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)