Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AA2B5366040263F1197C3CD7361BB2EA1E39289DB99090657FD4BAD8BE3E90DD1385B |
|
CONTENT
ssdeep
|
384:XKy5NEku2SsJyy4yhfLbwsHFrpfBjVgtzEeBzdyni4OcLIYsOy2+y9BH4cCUIe:XKy5NEkyeLbwerpZjVgtzEeBpyntOO71 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
836bb836c54593e9 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
9d99c3c3e86c4700 |
|
VISUAL
wHash
|
00457171040fffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0280900458988000,9c09dbc3c3cc6c47 |
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.