Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CE241B81160577F9887DEF0766CEB39A294878DCE33CB0BE3E4B35956AACC17941244 |
|
CONTENT
ssdeep
|
768:DV0PQjbR/sGA90iv1qcWf8euB1PQsAjkpP9aFPvFD3jV0wN38kS0CnW5S:D+mz+/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef4d909292c3636b |
|
VISUAL
aHash
|
fc003110e7e7ffbf |
|
VISUAL
dHash
|
4d3363638c0c5353 |
|
VISUAL
wHash
|
f5000000e7efffb5 |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
4d3363638c0c5353 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)