Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184634030A800993701CB66C8A636576A26E69354C6131598FFF487FE2BEFD6CCE37164 |
|
CONTENT
ssdeep
|
1536:18sIxixyHZHy6H9DHmxG+E8hJ5UDXPr3TNl8qmFuBWq/V562eeeBeeeUeeeHeee+:18v571gKbw734 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc4e8c2ecc8e472e |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
2360448a1a8230ba |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
1a007000000 |
|
VISUAL
cropResistant
|
64e424d9232b23c0,0000103032b2ba9a,206424e4e4e46464,646448c09a0a1a92 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.