Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F92D737E1C0283902D365A5BB113D5BC079857DD270E670CB9E9697B2D18F0C2BA3AA |
|
CONTENT
ssdeep
|
384:E7c7Pa7YQbp0mxb7UKs/MI3kc4B9kcB6oLJdIm07ORWRK0B:E4TaEQbpBxb7I3kcCf0ZRxB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85a762523c7c7173 |
|
VISUAL
aHash
|
007fffff20000000 |
|
VISUAL
dHash
|
96c8c232e8d0b2f0 |
|
VISUAL
wHash
|
22ffffff3e100000 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
96c8c232e8d0b2f0 |
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.