Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19563553C23C1563950C787F2E6949F29D2A9CBD9DB27AD8BF3ACC247168AC45CF51260 |
|
CONTENT
ssdeep
|
768:H8lFfjqYYZbfXHwo4xBg2821yx1v3PZYGEWbTSs2eUlLM6H+K0Pm:+fuYBGx1v3PpEWbAim |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2e2e2da70 |
|
VISUAL
aHash
|
ef0b0b3303030100 |
|
VISUAL
dHash
|
0ff7d3c3d7f79bb0 |
|
VISUAL
wHash
|
ff1b1b7b1303031a |
|
VISUAL
colorHash
|
07400008000 |
|
VISUAL
cropResistant
|
0000100010100040,1f7dbefd7cff3b37,5e5aa94d4ba9b554,75751a6c2c9a6464,2040838b73a36393,0ff7d3c3d7f79bb0 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.