Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9326F33B600DC2A8A9B56CCF2C49989505DD345FB314CCAB2A091BF7BD4CF169993AD |
|
CONTENT
ssdeep
|
192:PMy3JQdNkkkXoqTRY6a9mfbhxDMcnthWeNWbxfMmUU8VCoiu:GNDqTR5m42fMmUFCor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0788f07079f0747 |
|
VISUAL
aHash
|
00c0c0c0c0ffffff |
|
VISUAL
dHash
|
8181819182e20040 |
|
VISUAL
wHash
|
00c0c0c0c0ffffff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
8181818382e60040,4181818181818382,cdd9d89999c0ff7f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.