Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B235BB26722B86843DB91DEF7383956B2D1489DF8CB4410F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aSII+EsZx8/G8c4QoDawwMqB9MwdMqB97w9r82+/9dtZkDieE565ThHEnnvdhfeG:aSII+EsZ/8nQoDawwMqBGwdMqBlwh822 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e969969696398393 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
2b2323230f002200 |
|
VISUAL
wHash
|
00818080003c0000 |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
2b2323230f002200,1181809201810001 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.