Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13362533062189D3EA05383D5D375333B32E5934ADA4B1315AAFD83B88BCAC99ED3B554 |
|
CONTENT
ssdeep
|
192:k94DZ8/nrwog5WZM/tte8bSrFSK3kHwcC8JhSubK:swogUM/i8bSrFSK3kHwyhSsK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b84d43534769ec9a |
|
VISUAL
aHash
|
000edfd3ffdfcfff |
|
VISUAL
dHash
|
3334363729371840 |
|
VISUAL
wHash
|
00df9f81c1838fcf |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
00032323234b34b2,1030373b27361044,3208b2b2b2320c10,018030c8c8402000 |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.