Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1782103F2A0D409BB91C3C6E5ABC4B70573D546E7C627595540D890EA4BCEE54CAE03B8 |
|
CONTENT
ssdeep
|
24:MOupVYCn/8JdqcAc50JYD2Kkh+R9dwvq1/nMqmS:bupF8fqcAc50Ji2Qn1/nMc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9dc02628f992773 |
|
VISUAL
aHash
|
f8f4de9ae3410d2f |
|
VISUAL
dHash
|
608490324f8fd9cc |
|
VISUAL
wHash
|
f8f4da98a9410d3e |
|
VISUAL
colorHash
|
070010000c0 |
|
VISUAL
cropResistant
|
608490324f8fd9cc |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|