Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA151BF0F32C11FC954F47E9892169BC336E30B7B9124078497CBA785663668CE5BC6A |
|
CONTENT
ssdeep
|
3072:VV3ZNeLTpSnScVi1DVCqyTYUegDxc9UqjPUCWdhmDeA9K8abKys7d:VVCCS9ypMdOmDeA9K84KyW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f046adcb2cd2c639 |
|
VISUAL
aHash
|
0000000400ffffdb |
|
VISUAL
dHash
|
e0d28ccc8cd41b3b |
|
VISUAL
wHash
|
3000466600ffffdf |
|
VISUAL
colorHash
|
03000000180 |
|
VISUAL
cropResistant
|
8080828282828080,38686e8e9e8e8e96,68b49cec965676b6,201416183b3b333b,e0e09acc8cccac98,bff6cfebda9f3c08,3f830f0f07070f4f,2f795e7e7e7e7e1f,056c0a080a882f1e |
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 264 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)