Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D235AB26722B8B843DB91DEB73C2945B2D2488DF9D74410F5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:a58h+EsZx8/G8S4QJDawLMABrwpMABir82+/9dtZkDieE565ThHEnnvdhfePqDvs:a58h+EsZ/8lQJDawLMABrwpMABG82+/m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3cc08267e3c3c3 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0f370b0733000000 |
|
VISUAL
wHash
|
8101010181ffffff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
0f370b0733000000 |
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.