Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF716555920C5D3DA113C3C4E7953B78028E9291D71E4A1CE9F90B789A13E9DF83B9EC |
|
CONTENT
ssdeep
|
96:Ps/O+IHZOWxK55OFq4O+wMocOCkXcOBmC0Oz5e:Ps/OT5OlSO1cOC8cOcOo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c83f26d92f00df2 |
|
VISUAL
aHash
|
1f1f1f1f1f1f1f1f |
|
VISUAL
dHash
|
34b4b6b4b533b634 |
|
VISUAL
wHash
|
1f1f131717111b1f |
|
VISUAL
colorHash
|
0f000000e00 |
|
VISUAL
cropResistant
|
80a0989a928e84a0,88fc3c18481288c0 |
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 310 techniques to evade detection by security scanners and make reverse engineering more difficult.