Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DB28631B1403A37119793DAB7A1E31BB2D2924AEB47054543FCD3AC8BE7C85DE6361A |
|
CONTENT
ssdeep
|
384:HSkZGrfrNFm/AVSYjla+5KM336IKqoSFqM3RIYsOy2+y9BH4cCUIe:HSkZGtzsc7ZqE7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c323bc6dc54292bb |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c8dcc8c8c8e0cc00 |
|
VISUAL
wHash
|
00006c747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0080800458988000,c8d6c8c8c8c0c8cc |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.