Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D41882250404D372202EAD5BA473179E8A6486666111D1556BBC3EFE764FDBC1A12CA |
|
CONTENT
ssdeep
|
48:nkoIrcCoCtULereWNmTNMkQ8cGjkHZCha2KmHmemI:nerbnt7ibQ8VuZCnmemI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1394e4e313b1b39 |
|
VISUAL
aHash
|
00ffcfc7c7ff0000 |
|
VISUAL
dHash
|
2000999e9e996230 |
|
VISUAL
wHash
|
00ffcfcfc3ff0000 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
186099999e9e6018,0000000000000000,0000c0202020c000,0832328cd030b200,0010203232080000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.