Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4F353A17912A916129F22CF8227170E61D1C7C4DA5396E9B6F0C3689FBDC44FFB3129 |
|
CONTENT
ssdeep
|
1536:+5UEDe1sIx8tl1eq1tW4Bl1//Cl1R3I8F9dl1Gne8l1FWxMl1/evOqEOl13ALtWX:7PI8FDq7G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c104bd36f136bdc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
bed0c4c4c108e412 |
|
VISUAL
wHash
|
027870647028ffff |
|
VISUAL
colorHash
|
31000030000 |
|
VISUAL
cropResistant
|
0004689696926804,00000003222e0213,96d8c2c4c4c9d8e4 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.