Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150235B726722B4A843DB91EEF7382D56B2D2589DF8C74414F5C89ACD23C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8v4ODawAMSBtwFMSBgqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5d:aV+EsZ/8wODawAMSBtwFMSBBN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fc0c0c0c12d |
|
VISUAL
aHash
|
010001ffffffffff |
|
VISUAL
dHash
|
7d75773837100000 |
|
VISUAL
wHash
|
0000008f83ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7d75773837100000,fffdecfff7f7f7ff |
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.