Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7D2FE65A20151A302B3CEC7D6717F3E729BF30F85069780BAAA61A41FFBC767521474 |
|
CONTENT
ssdeep
|
192:6NsR10D4CtXM+Sy+U3FKm5rpg81Z8/UUqst3zisyxijW5t7:SvD4CtXMwB7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc98994ee6663366 |
|
VISUAL
aHash
|
18181810381818ff |
|
VISUAL
dHash
|
32b232a02022a2a2 |
|
VISUAL
wHash
|
383c18383c3c3cff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
32b232a02022a2a2 |
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 298 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.
Pages with identical visual appearance (based on perceptual hash)