Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10AA36933411935274437C6D430A95B3BE2E69A5FF9A70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:YYztqwZhwLz4NP/y9svbliCdw0NcU9TS0JY9mhFtSuCa2GG2Ao:EmA6r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfc3a946cc512 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1449cbe3ccccc6ec |
|
VISUAL
wHash
|
c0ed71302e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
e40ba8814e4e8288,1449cbe3c9ccc2c4 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.