
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
github.com/studyzy/runestone
Bitcoin Rune protocol golang implement library.
go get github.com/studyzy/runestone@latest
Define a new Rune named STUDYZY.GMAIL.COM
func testEtching() {
runeName := "STUDYZY.GMAIL.COM"
symbol := '曾'
myRune, err := runestone.SpacedRuneFromString(runeName)
if err != nil {
fmt.Println(err)
return
}
amt := uint128.From64(666666)
ca := uint128.From64(21000000)
etching := &runestone.Etching{
Rune: &myRune.Rune,
Spacers: &myRune.Spacers,
Symbol: &symbol,
Terms: &runestone.Terms{
Amount: &amt,
Cap: &ca,
},
}
r := runestone.Runestone{Etching: etching}
data, err := r.Encipher()
if err != nil {
fmt.Println(err)
}
fmt.Printf("Etching data: 0x%x\n", data)
dataString, _ := txscript.DisasmString(data)
fmt.Printf("Etching Script: %s\n", dataString)
}
func testMint() {
runeIdStr := "2609649:946"
runeId, _ := runestone.RuneIdFromString(runeIdStr)
r := runestone.Runestone{Mint: runeId}
data, err := r.Encipher()
if err != nil {
fmt.Println(err)
}
fmt.Printf("Mint Rune[%s] data: 0x%x\n", runeIdStr, data)
dataString, _ := txscript.DisasmString(data)
fmt.Printf("Mint Script: %s\n", dataString)
}
func testDecode() {
data, _ := hex.DecodeString("140114001600") //Mint UNCOMMON•GOODS
var tx wire.MsgTx
builder := txscript.NewScriptBuilder()
// Push opcode OP_RETURN
builder.AddOp(txscript.OP_RETURN)
// Push MAGIC_NUMBER
builder.AddOp(runestone.MAGIC_NUMBER)
// Push payload
builder.AddData(data)
pkScript, _ := builder.Script()
txOut := wire.NewTxOut(0, pkScript)
tx.AddTxOut(txOut)
r := &runestone.Runestone{}
artifact, err := r.Decipher(&tx)
if err != nil {
fmt.Println(err)
return
}
a, _ := json.Marshal(artifact)
fmt.Printf("Artifact: %s\n", string(a))
}
FAQs
Unknown package
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.