Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CF4320746842FD3FA1C78AD59172536AB2E24740CE238686BEF083F95BDAD5DCF22045 |
|
CONTENT
ssdeep
|
1536:PsIxU9SuBd62XYF2v8BvhUv1Fvylv6jvl3oY7Ne8Mk9kLMDb79F:PTuBdnXYF2v8BvhUv1Fvylv6jvlDNe8N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96b1436176a5b2c |
|
VISUAL
aHash
|
00fff9f9fffff7ff |
|
VISUAL
dHash
|
d40b230b121636b8 |
|
VISUAL
wHash
|
00c1f9f98383c3fe |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0703231b161636b8,c029d4d4d4c43400 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.