Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB024431C4C0553F02D392C59F96BA1AA39242C2D52B8F1692FA469E4FCFF91CD73A25 |
|
CONTENT
ssdeep
|
96:35bnNX6WSaEPcV3sCFMSJSJS19Uqin1tKxwQ8CPKnbtz1IF9URT3JJMYm5I2Tiw:pJFD441Sq8z1blJWYm5tTL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92926d6d9096db93 |
|
VISUAL
aHash
|
000c3e2e2e000018 |
|
VISUAL
dHash
|
d4c9dcdcdc2b3032 |
|
VISUAL
wHash
|
667e7e7e6e001818 |
|
VISUAL
colorHash
|
00000000030 |
|
VISUAL
cropResistant
|
989a74db1818349c,d4c9dcdcdc2b3032 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.