Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BC3BD334219392B4537C3D520A99737E2969E4FFAA70B050EECD7F72BEAC90745A019 |
|
CONTENT
ssdeep
|
1536:aZRTk0PSGIhIEBa4MuoEFR48To6BsQ8ub1yDFKf+YUGNAO:qzllpGeO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e5bc3c3c92e493 |
|
VISUAL
aHash
|
0661706c30300d2e |
|
VISUAL
dHash
|
d4cbcec8c0c3d9e8 |
|
VISUAL
wHash
|
0773737c30312d3e |
|
VISUAL
colorHash
|
30007008040 |
|
VISUAL
cropResistant
|
fefefecbcbf6fefe,d4cbcec8c0c3d9e8 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)