Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AB2D63052342CBB392B83C8F7E8BB1B61469A05CE4645D6E8D9C21C55CDFF999A3389 |
|
CONTENT
ssdeep
|
384:lAqqjPlFpeZobNUpemlNmcuXwzQWh6M2WZ7noLEvwe3FV3R23serHnYzFDJeGzeq:gTpeZobKemlUcuXwztEDk5YeL0jaDXBv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83aad8c69c9de1e1 |
|
VISUAL
aHash
|
ff01610d67772e6e |
|
VISUAL
dHash
|
e9c9cbfbcfcec8d8 |
|
VISUAL
wHash
|
ff01010567773e6c |
|
VISUAL
colorHash
|
0e206000000 |
|
VISUAL
cropResistant
|
e9e9c9dbcbbbcdcf,63d3b3369357a3a3,5eeaeaf0cccdcc84,e9cbcbfbcfccc898 |
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 934 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)