Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A918AB05054ED3A026392D9F6766B1F72C6C309CA4B37414AF9A3ED4EE9D50ED4A102 |
|
CONTENT
ssdeep
|
96:cpSPIZOmMrt+G3uj3FOPt/10C2Fgn6ocwW/Qrw:cpSPiSrt+Gej38V1o1wts |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6058ff47aa17481 |
|
VISUAL
aHash
|
000000c4c4c6ffa1 |
|
VISUAL
dHash
|
0f6c282d2d24d049 |
|
VISUAL
wHash
|
011288c5c4c6ffff |
|
VISUAL
colorHash
|
03000000006 |
|
VISUAL
cropResistant
|
9f89cb40e4b6e2e3,e7d5d6ea56575953,7af8b031b1595c26,292d2d2c24c64149,fec6fe6c7c78e18e,9e65e8282d2d2c24,0058a7abcb471805 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.