Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F631EB3A291CC361263D0C526A01F7FA2C9E38CCD5346F166E947AC5ACAD71EE1B14D |
|
CONTENT
ssdeep
|
384:oqfAO5veDpH1QkinqRtitik9ichblbgbapNO5y0ppSZOKwxtfHN9ulw0:PAV1QkDmhxEGNO5y0ppSIFu5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c23e39c765c92c93 |
|
VISUAL
aHash
|
183c3c7e7e3c7c00 |
|
VISUAL
dHash
|
697171c4ccc4d0dc |
|
VISUAL
wHash
|
183c3c7e7e3c7e00 |
|
VISUAL
colorHash
|
39200008040 |
|
VISUAL
cropResistant
|
c202424262620282,2d292fcbd33039eb,49ce4a420eada4cd,36d6969796b6b6b6,b31336363232b236,06073779a8b9b8ea,92123676bcb89a99,697171c4ccc4d0dc |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.