Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC2272319104A67B5183D3D8EB74A76F73C48256C7B30B06A2F9C3AC4BD6E22DC32A54 |
|
CONTENT
ssdeep
|
192:f2xhjz2ynxw9QJ67H5894qqfScqqf0VE+j+7SNroacBQYU66CY:5H7H58j3hoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d9b9b6443192c |
|
VISUAL
aHash
|
39119393939fffff |
|
VISUAL
dHash
|
737727262631c1e1 |
|
VISUAL
wHash
|
19111010929fffff |
|
VISUAL
colorHash
|
07000038001 |
|
VISUAL
cropResistant
|
737727262631c1e1,79f8f8f8f0713307 |
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 975 techniques to evade detection by security scanners and make reverse engineering more difficult.