Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191F1AE311054EC3302B7E1D697B81B9F76E5962ADE53428B9BF8878E4FDBC80DD52221 |
|
CONTENT
ssdeep
|
192:m7vTIzXp+ps8Rrd3TDMFPdfT+BH1GR/vu/6:aTeQs8RrlTYF1fCBVGRvu/6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38966669931e6cc |
|
VISUAL
aHash
|
dba5bc5d7da4e55b |
|
VISUAL
dHash
|
124c2a9ab24c4db2 |
|
VISUAL
wHash
|
c1c2fe6d7c84c057 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
124c2a9ab24c4db2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)