Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4C29531B0106B3B519393C9B761A32FF2E7934ADA87044562FC83AD5BE7C98DE23519 |
|
CONTENT
ssdeep
|
384:GSkZxztQPZ/OH/sVSYdFrqw+Vfm/P5otxo9Cg1IYsOy2+y9BH4cCUIe:GSkZxzADnDyDq7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c322bd6dc54293ba |
|
VISUAL
aHash
|
000004200000ffff |
|
VISUAL
dHash
|
ccccc8c8c0c8c800 |
|
VISUAL
wHash
|
00006c7c7870ffff |
|
VISUAL
colorHash
|
3a000000038 |
|
VISUAL
cropResistant
|
6080800458988000,ccd2ccc8c4c0c8c8 |
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.