Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D844C7E1E138AD35002753F2E397FAD17699F280C39109409BFC17609BEDDB4A92799E |
|
CONTENT
ssdeep
|
1536:DzF0rfiMT7JBCkYCbVOa+jc5TvyTIzEUCb3PrBnvZUGZp1qz6Tn8XKZYNg2neApS:DzYfH3T01Cb2dTeF21 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfd2c225d2383939 |
|
VISUAL
aHash
|
fffb81c9838383ff |
|
VISUAL
dHash
|
49131b3b67272759 |
|
VISUAL
wHash
|
fdd98181830383ff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
49131b3b67272759,53d2d3d1d1d25355,d4480b394e8aa934,aa52aa2a523432aa |
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 26375 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)