Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161825271E2402E2F97B71CE5B47A978A00A36609CF474E8173ED0B85FBE9CB1583A5D0 |
|
CONTENT
ssdeep
|
384:nICjuABed5CkvETHmVDaPhWJ4fEXIxUNpDMY9J6YxzDYQzNYCR:nICju9TCkvETHmVDaPhWJ4fEXm49J6Y/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b676466c4949395b |
|
VISUAL
aHash
|
00e7a7e7ffc3f7ff |
|
VISUAL
dHash
|
2d2d0d0e2e964e4e |
|
VISUAL
wHash
|
0087878783c3bfe7 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
2d2d0d0e2e964e4e |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)