Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C79200E42221576E8CDBCED536A8EB3DD398878CDE33CB0BB3E472520656DC67941251 |
|
CONTENT
ssdeep
|
384:BSkKiWL28qaPeIuiPeVR/D/I/n/R/3//pLip7t6EQLt6Jt6e7t6ht6Ft6xn4n1jG:BHKi828qaPeIuiPW/D/I/n/R/3//ZipM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
966d69926d39b4c4 |
|
VISUAL
aHash
|
000020217fee0e00 |
|
VISUAL
dHash
|
a2c4616bcc8cdc53 |
|
VISUAL
wHash
|
00043cbfffff2e00 |
|
VISUAL
colorHash
|
1a002200000 |
|
VISUAL
cropResistant
|
2164e4641ecece5c,c2c0c9c95adaccae,a2c4616bcc8cdc53 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)