Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16EB284716184663B469382CCB6617B2FA2D3828DE786150243FDC36D0FE7E41ED7392A |
|
CONTENT
ssdeep
|
384:GePjOMy+IPZxV5oP1g9leGpcWvT9kiXbmb/AbI2egQb2OFtiuCa28y2O0sq:GePj++0D9leG9uirpQTFtiuCa28y2OC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c247a532bd39966c |
|
VISUAL
aHash
|
00202000000400ff |
|
VISUAL
dHash
|
dcc0c0caccccc3b8 |
|
VISUAL
wHash
|
06707060640effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
000080015c5880a0,dcc8c4c0c8ccccc3 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.