Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C0220726104ADB70193E3E5E771E72F7686D349CA931786A2F8974C0FC7DAACD91204 |
|
CONTENT
ssdeep
|
96:zS7PzCACvHDwxh1uB1Q+BO4vRl8voOBvlPlRJoTONetDSP3d2:z0SPs1us4vRlERJoTYE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeeeeec411113133 |
|
VISUAL
aHash
|
f0f0000000000000 |
|
VISUAL
dHash
|
2424588000000000 |
|
VISUAL
wHash
|
f4fc04ec00000000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
4c4d4d4d300c0c00,2424588000000000 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)