Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C02A5AC9398D4235124D2D0D99A7BEF72614E06D3831A2157BCC177BDCE8BEDD122B8 |
|
CONTENT
ssdeep
|
192:7ZSHABUaXE/y5+x/2XH7Ok34ydHOunjyoRyp5OB:9SNBq5+lyjp00 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c3bcb274ac23ac |
|
VISUAL
aHash
|
ec3c38382c678f01 |
|
VISUAL
dHash
|
49c9e9e1c94d3b3b |
|
VISUAL
wHash
|
fd3c38382ce78f01 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
49c9e9e9c9c95b3b,cdcccc4cdcccecec,412ec4c439ce4a64,1919999962499290,0000000000020d58,c9cd494f1b3b3b58 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.