Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13542C9E56A2099DD848A83EAEB215E2C329B947BEB030704C3F98BDC15C6C95DD538D3 |
|
CONTENT
ssdeep
|
384:4FWmBLsBqBrnavIi06YuHG9JRsnJUZb06Y:4FWmBLsBqBevyJG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8f80709aa268bfa |
|
VISUAL
aHash
|
01c1fcfcd9080000 |
|
VISUAL
dHash
|
4fb729a4b193c44a |
|
VISUAL
wHash
|
01d9fffdf9190028 |
|
VISUAL
colorHash
|
33e00000000 |
|
VISUAL
cropResistant
|
049bd900b098dada,8e84aab6aeae96a2,8b0d54e6e76664cc,4fb729a4b193c44a |
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 370 techniques to evade detection by security scanners and make reverse engineering more difficult.