Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC2A43171007B3B6197C2DDB361A76FA2E2824ADB87051462FCC3AD87E7D55CE63429 |
|
CONTENT
ssdeep
|
768:3SkZirNl7aFJn/QC4y7sOy2+y9BH4cLIe:2HaFJnf7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc2cc5429eba |
|
VISUAL
aHash
|
000000200000ffff |
|
VISUAL
dHash
|
c4ccc8c8c0e0cc00 |
|
VISUAL
wHash
|
00006c747878ffff |
|
VISUAL
colorHash
|
3a000000430 |
|
VISUAL
cropResistant
|
0880800458988000,c4d6c8c8ccc8e0cc |
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.