Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13792A571A021EE32406B87D6B3E99B1A52D6C249CD460649D3EDC3FE0BEFC94FE25841 |
|
CONTENT
ssdeep
|
384:Y/uxUHwaipxlXRjQPTjwrlIII4mg1AOOh3Q:nxU2drlIIIW8hA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c536323d7d3296 |
|
VISUAL
aHash
|
067f797826040004 |
|
VISUAL
dHash
|
8ecbc3d3ccccfadd |
|
VISUAL
wHash
|
467f7f796e04000f |
|
VISUAL
colorHash
|
38001600010 |
|
VISUAL
cropResistant
|
8ecbc3d3ccccfadd |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.