Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC28432B1407A3B51A783CAB762E36FA1D3434EDA87051592FC83ED4BD6D44DE2351A |
|
CONTENT
ssdeep
|
768:iSkZNNw8zgyAZa2oD0s7sOy2+y9BH4cLIe:uIyi47sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd6dc54693b2 |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc8ccccc0c0cc00 |
|
VISUAL
wHash
|
00006c7c3878ffff |
|
VISUAL
colorHash
|
3a000000230 |
|
VISUAL
cropResistant
|
8880800458988000,ccd2ccccc0c8c0cc |
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.