Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1522CE9379092B8C883A7D6FC12517B545FE0A7AB821359C2CE876974CA4FD99287C0 |
|
CONTENT
ssdeep
|
384:9m1yj1u1iM18+/rZ9YrJwZUk1M18N1vMrV1R1WSPEbctMv23GkLLz1yOY1jq:9xxiSkEr5PTV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e626999966663333 |
|
VISUAL
aHash
|
ffffe7e7e7e7ffff |
|
VISUAL
dHash
|
90084d4d4d4d4c30 |
|
VISUAL
wHash
|
70f1e0e0e4e4e4fc |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
90084d4d4d4d4c30,0068b29696680400,4123c4d424868669 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)