Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191C301345095E87342BB89C4D9B0672F32B5831ACE07878A63FC57ED4BDADA4CD23A45 |
|
CONTENT
ssdeep
|
1536:YQ+hcZhgr3njjuB2v2BZ3bCaanlUCmRiMX/pC4ozgP9w03aknBTMghMagkARtWPP:YQ+hcZhgr3n/uE77GxLxSQkg5voarEi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eeb7c1291e61d229 |
|
VISUAL
aHash
|
e7bfe79391d9f1fc |
|
VISUAL
dHash
|
0f29cf2727331321 |
|
VISUAL
wHash
|
c389e7919181f1fc |
|
VISUAL
colorHash
|
0700e000200 |
|
VISUAL
cropResistant
|
0f29cf2727331321 |
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 268 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.