Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108B46173C888ED3736420AD0AF317649F94F6139CD518646D2B64364FAAFAF61C12BE4 |
|
CONTENT
ssdeep
|
3072:vEQ1MWDP1r1S1H1xdD4iELUvyV1YUC00h7Dryrxdrtr4rfdr2rSrRdrMr7rAdrHX:vh1r1S1H1xdD4iEcybYUC000m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc333333339999 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
00b0b2b2b2b23000 |
|
VISUAL
wHash
|
00183c3c18181800 |
|
VISUAL
colorHash
|
38000018080 |
|
VISUAL
cropResistant
|
00b0b2b2b2b23000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.