Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9E265A051CA754F0A104199E5206F1DA7AA61FEF7230F85B7649E3F78D6420CE326BF |
|
CONTENT
ssdeep
|
384:d3gNsl6KVW/eX3TWsRrgCnjA8ArQ0jFtM:dQNsl6kOeX3THRrj08T0jFtM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed64e66c1a92986d |
|
VISUAL
aHash
|
e3e3c300c3dbcfcf |
|
VISUAL
dHash
|
2606161832129a1a |
|
VISUAL
wHash
|
c3c3c300c3dbc3cf |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
2606161832129a1a,dddddeeddbb7e9d3,4d9d19d1276da373 |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)