Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BEA37933411975274437C6D430A95B3BE2E69A5FFAA70A010EECD7FA1BFAC90744B11A |
|
CONTENT
ssdeep
|
1536:7EsLz4NP/y9svbliCdCJBMfS3euXJ6FtiuCa2Um2+o:7EymAvJBMfS3euXJG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3658532b52cb46d |
|
VISUAL
aHash
|
00200000000438ff |
|
VISUAL
dHash
|
dcc0c2cac8ccd1c8 |
|
VISUAL
wHash
|
067c7020600effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
c0028001185880a0,dcc8c2c8c8ccccd1 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.