Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129C27475D100663F06A3C2D97351B71E92E38359DB89081693FD4BAD1FEAE40ED23B26 |
|
CONTENT
ssdeep
|
768:uSXy5NrcePr47U1U9PzACo11b67sOy2+y9BH4crIe:BePr47U1xCo767sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd12d0698583 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbe3cc4cb200 |
|
VISUAL
wHash
|
80e571200e06ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,1c0dcbc3cbcccc36 |
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.