Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162E2A532A1006A3F0197C3D9F761BB2EE2E7938AC74A054553F9435E4FE6E50DE2352A |
|
CONTENT
ssdeep
|
768:MTy5NyK9wnxEJSZ5As73BP7sOy2+y9BH4cLIe:19wuCV73BP7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361b81aed13c5ca |
|
VISUAL
aHash
|
000060000000ffff |
|
VISUAL
dHash
|
9cccc8c8605cd800 |
|
VISUAL
wHash
|
00e4fe202034ffff |
|
VISUAL
colorHash
|
39600018040 |
|
VISUAL
cropResistant
|
4080800458988000,9cccc8c84860c4dc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.