Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17353D631A241DA2744A372C07771DB4BB3C4A34CC793435592F9C7B83ADBC86D939A98 |
|
CONTENT
ssdeep
|
768:ChGxwiHepDH3ufWUnbXp+D92Vx+5fH4F11XAMVm:ChG2iH+ufWQ8Cw5fMpAMVm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e88747dc94d433b8 |
|
VISUAL
aHash
|
b3e1c1d9d9c1c1c1 |
|
VISUAL
dHash
|
6acb13333333330f |
|
VISUAL
wHash
|
f3e1c1d9d9c1c1c1 |
|
VISUAL
colorHash
|
1a003008041 |
|
VISUAL
cropResistant
|
006303838bc7930b,2b56cc98e2c68319,bc7800c0701cc6b3,388ea39886e4789e,3919dab84e4e2c0c,5c9c3c6cc8cb9a58,04e0988681a2b480,332129aabb352626,dffef0d4f5e9ebf3,6acb13333333330f |
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 72 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.