Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AD15865641049AB177798D0E820BF9B7ADAF74FC2BAD5442BFD55A09FC3CA0F8094A0 |
|
CONTENT
ssdeep
|
96:cZUB/9uSQXIrEJvaCZAYoGaTo/DTAp/DTB6D7/DTV/DT/mZb:cc/9qseZA1GaImt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1708edb066427db |
|
VISUAL
aHash
|
e7ffc3c3ffefe767 |
|
VISUAL
dHash
|
0c109686301414ca |
|
VISUAL
wHash
|
e7cfc3c3c3c3c300 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c109686301414ca,6236969696565681,004094d4c4c42240 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.