Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D2B671B1547A3751A782C9B762E32FE1E3420FDA86091592FC83BD47E7D90DE2342A |
|
CONTENT
ssdeep
|
768:2SkZ9FnwF6vj6q/b6h7sOy2+y9BH4c1Ie:Cesu7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c332bc6dc70296ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccc2ccccc8e0c000 |
|
VISUAL
wHash
|
00002e7c6878ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
0880800458988000,ccd0ccccc8c8e0c0 |
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.