Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14471A41144049C324A82A9E467F62F6B22988755C307190DFAF8877D1ED7E9DCEB7A34 |
|
CONTENT
ssdeep
|
48:kSI1bHr0PwWaRwl/xngUOwei0Dm/BF1JsJjqHLXCZ4yHflq9gx3Hhsp:kS0cJpeO9JsJjqrXCZ4723mp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399cc9933 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
100cb2b2b2b20c30 |
|
VISUAL
wHash
|
30303c3c3c3c1c1c |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
e2e0b2a2b222b2b2,100cb2b2b2b20c30 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)