Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7234BB26722B8A843DB91EEF7382D56B2D1489DF8C74414F5C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aZETC+EsZx8/G8U4ADawMMSBkowvMSBkRqN2/y9dGDTDiJE56ITmH+LCBlvNPqDz:aR+EsZ/8PADawMMSBlwvMSBZN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3f2ac0c0c0e2 |
|
VISUAL
aHash
|
000081ffffffffff |
|
VISUAL
dHash
|
7f7b7f3227180b50 |
|
VISUAL
wHash
|
000000cfd7ffc3ff |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
7f7b7f3227180b50,fffffffbffffffff |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.