Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F426133E600CD2A8DAB55CCF2C09599515ED345FB3148CAA1A490FF7BC4DF069AA3AD |
|
CONTENT
ssdeep
|
192:KN3JwYcncvchdowtv64uaA+Jacsx56cMcnthWeNWbnfMmUU8VCoML:ccncvchdoWv64uuJw6DfMmUFCoML |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f47cfd038703a709 |
|
VISUAL
aHash
|
c2c2c606040c08ff |
|
VISUAL
dHash
|
3634343cfcf8f8d0 |
|
VISUAL
wHash
|
c2c6c60e1e1e0cff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
3634343cfcf8f8d0,e2609ae2e03333d0,bdbdbfbbfafef4fc,70b0e060c0800000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.