Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA62953822750FBEA187C765B3B5BA2720F58257F3265158D7BDC5282A82CB7CC32674 |
|
CONTENT
ssdeep
|
384:ycJnmpRcenmoCRY+3bnm57YfwhmKF+MS3ksd6:ycFmpvmoCY6m1YMmK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb4694bab695496 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2724242764662727 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
0202220e36320212,9282f03a3bca869a,f434f3a904547360,def869aee859befe |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.