Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16153F9F4D76895BC8C0EC3D997211569334E9CEDF9534A188AAD8F649343AE8CB078CD |
|
CONTENT
ssdeep
|
1536:JXAU+wxFaPSXFDIiF7mcx6wkZZIRZuhYuVc/i3:JgRIEWi3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d502025575aabbbb |
|
VISUAL
aHash
|
0000fffffefeffff |
|
VISUAL
dHash
|
d4c408aa848080a9 |
|
VISUAL
wHash
|
0000fffe7e7e007a |
|
VISUAL
colorHash
|
070000003c0 |
|
VISUAL
cropResistant
|
d4c408aa848080a9,69d38c0d9f76edad,6726192820832c0c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.