Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3436236A080663300B745D5E73A7F6DB2E25509E6462F91D2FCC35E5BCBE82EC0916E |
|
CONTENT
ssdeep
|
1536:1CJjsJB5HtIT2cL14QEOtyAZ9Nt+OnAmImicN82K28Qn2:1CJjsJB5NIqcL1J3K2u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eacb9596341b48cb |
|
VISUAL
aHash
|
fff9f981e5f7c381 |
|
VISUAL
dHash
|
3e0303190d0d2f37 |
|
VISUAL
wHash
|
fff9f981e1e18100 |
|
VISUAL
colorHash
|
07001038000 |
|
VISUAL
cropResistant
|
3e0303190d0d2f37,131333233168c642,4004d0d0f06a1440,b242044563a36341,b28505a18448a030,32fa3b33b3b1b1b1 |
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 111 techniques to evade detection by security scanners and make reverse engineering more difficult.