Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C41450713D01A936109F52DAA27B174F66D1C3C5DA53A3D5A3F483188FFAC89FE62680 |
|
CONTENT
ssdeep
|
1536:B+44X44RRqNSSGCtHonSFxpGpyXtnov46oao04E5jlPo9SxSDYBsSS3SS9zJ8SR9:MRqntHo6pwydow6o9zvL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db76a402f12d563c |
|
VISUAL
aHash
|
fff51c2c0c183bff |
|
VISUAL
dHash
|
cca968486969f300 |
|
VISUAL
wHash
|
fec51ca404103bff |
|
VISUAL
colorHash
|
06007000001 |
|
VISUAL
cropResistant
|
c829684969e97300,00412087c7c76102,dd2dc7c7e7f77691,cccdc9d5868e8f0f,4e1c1c3d39bb5d5d,3b37736367e7e373 |
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 668 techniques to evade detection by security scanners and make reverse engineering more difficult.