Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5C29831E1102B3B2197E3C9B311F36DD2A2E249EB46091553F8876E8BD7E90DF27526 |
|
CONTENT
ssdeep
|
768:Lbe/y5NrnS9TxAqTCBwlI7sOy2+y9BH4crIe:GTSq2BN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9149c58c |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
0c4cc4c6ccccc300 |
|
VISUAL
wHash
|
00eef6602400ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,d44cc4c6caccccc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.