Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDC14530311538B6533B5791B0A2530E13138325D753181DFFE51BA6ABCDCEE8AB26E9 |
|
CONTENT
ssdeep
|
96:DeP2hgpb0gS8jDto3GpvErEFiQ5LRDI/5gLRjIP7LR0IPNLRSIP6MGXNqyTzhBeu:Dexpb0gSK80vErEFt5LRUSLR0TLRJlL8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91196ee691193ee6 |
|
VISUAL
aHash
|
000000ffff000000 |
|
VISUAL
dHash
|
000000b08a000000 |
|
VISUAL
wHash
|
00000018fffffcfc |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
0000100c0c081008,000000b08a000000 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)