Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126832BB43509B9271AB343A7309E15037269131BD80E4D20B254ED9FB6F8C97A17BFE9 |
|
CONTENT
ssdeep
|
1536:qZ2w8pxyPieBapE5TlUuRNka2wblHbJLwLIz9GguGOjjRnK:qZqLyrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252d3d35252d2d3 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
d836446c20000000 |
|
VISUAL
wHash
|
7c00000038ffffff |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
8280a2c2c2828282,8000808080000000,0000000000000000,c8d8d8d8c8029000,12d854a46c642022 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)