Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19162537002026A7EDE7EDEE0F1F565A820FE8298FB160285C5F741BE6E83E50C5D5396 |
|
CONTENT
ssdeep
|
384:fd7q6euRlC0inM1GOLsIc3YW7rNMci4MuRZEE8mJ:F7HOQciCRBr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c7723dd22768971 |
|
VISUAL
aHash
|
00181800de991801 |
|
VISUAL
dHash
|
081032acb033310d |
|
VISUAL
wHash
|
0018185cfeffff01 |
|
VISUAL
colorHash
|
07008000c00 |
|
VISUAL
cropResistant
|
081032acb033310d |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.