Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2B2E3B1E0065AA296FB9DC1E5617E1E62D7F30F8516CA803ABCD98A1FC3CF5F521060 |
|
CONTENT
ssdeep
|
192:6OVRQFRdyvCFyFO4FDYFZMw/lpzBNWDNZmZ/n4J39fwSS4K4fDXFr+RuOCFiTt:dyRdyvCFyFO4FDYFZMpuPtTTt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333339999999938 |
|
VISUAL
aHash
|
c7c3c3ffffffffff |
|
VISUAL
dHash
|
0d4d4d000c0c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07001600000 |
|
VISUAL
cropResistant
|
0d4d4d000c0c0c0c,c0d00292f0d49429 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)