Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132833BF1A1B052B9018BE3D4FA367718328762FADB9287D582D4DF986F86C48DC57884 |
|
CONTENT
ssdeep
|
768:0vc34SiXM/JpfLVlDMfr4bkOA84aexH2QccLcK3xdXmzyygdlx3tIz5zie7tBB3H:0vc34SXDDMfrZ84j0Qc1K33tjAxPE+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394e07394b4f19 |
|
VISUAL
aHash
|
00ffcbc9cfffffff |
|
VISUAL
dHash
|
791693939652b353 |
|
VISUAL
wHash
|
00cbc9c9cb89f9b9 |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
791693939652b353,041a5a7a3a1a5a04,12b3b4b66964a6a1 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)