Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBB253F59685181F2683A1C155527F6562C3C067E286867763E9468E2ACCFF0ECCE33E |
|
CONTENT
ssdeep
|
384:ePn0d94p2CkqUYrJxMxiOSwmqKYh94CTZCGkioy3fiwq0jCKKzIB:ePng975NNEqjhZBkPy3fiwq0B2IB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
931b0f0f0f0f0f0f |
|
VISUAL
aHash
|
00efffffffffffff |
|
VISUAL
dHash
|
e91c121600000000 |
|
VISUAL
wHash
|
00c3c3c30f0f0f0f |
|
VISUAL
colorHash
|
072000001c0 |
|
VISUAL
cropResistant
|
e91c121600000000,ce8cf9731cf30000,31c7410200000000 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.