Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AE1661FE1849DB200B6A5D619EEF7D0E272841EC7819914E4AE70F6098DCA47733ABD |
|
CONTENT
ssdeep
|
96:rc5c3cHvR12H+VNF7DceUN6EWD4Wrro61ORX4MJD0ywQjwsEjItIxyb2GCTOqICL:QmMHttSWMWPgD0yw8waK83f/gT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
998666d966b92639 |
|
VISUAL
aHash
|
7e18181818181800 |
|
VISUAL
dHash
|
f0f0b2b2b2b2b232 |
|
VISUAL
wHash
|
ff7e3c3e38181818 |
|
VISUAL
colorHash
|
07201008200 |
|
VISUAL
cropResistant
|
f0b4b4b4b4b4b4b4,f0f0b2b2b2b2b232 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.