Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15952A52FE221A22F053FC7C4B9A5773930D7C29CDA861310C6F9427A3BD5CD9EAA6445 |
|
CONTENT
ssdeep
|
192:aG5mCoI4r9wGI4/lbIQOI4juq550+IHAO01gX4++Gkuzq9bL/:XC+kkuu5pI/01V++GvMn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed131234f9ce9233 |
|
VISUAL
aHash
|
000000fbc3fff3ff |
|
VISUAL
dHash
|
c4c2c8131726271b |
|
VISUAL
wHash
|
000000f3c3fff3ff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
e21217072627063b,ccd0d2e460d08ee8,06181c3c37a7a2bc,2b399cbc9c091c1c,e1e6f6b2b160e5c5,c4ca288c14211858 |
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.