Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117927330B44C3E3E9143C3D5E775B73A63AA8282C60D160865F887798BC2E56ED771E9 |
|
CONTENT
ssdeep
|
384:M5bl34XCjCg0xidPTcOWMDr3o2QFYF8dCx:M5bxMChb1WMDr4lWFbx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec93926c69686cd3 |
|
VISUAL
aHash
|
fffff1d1f191ffff |
|
VISUAL
dHash
|
23d8232323233801 |
|
VISUAL
wHash
|
81ff91818191f1fd |
|
VISUAL
colorHash
|
06006008000 |
|
VISUAL
cropResistant
|
23d8232323233801,c5d53572d5b5d151 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.