Log Injection in Buffalo
How Log Injection Manifests in Buffalo
Log injection in Buffalo applications occurs when untrusted user input is written directly to log files without proper sanitization. Buffalo's structured logging system, built on top of Go's standard library, creates specific attack vectors that developers must understand.
The most common pattern appears in Buffalo controllers where request parameters are logged for debugging:
func UserCreate(c buffalo.Context) error {
user := &models.User{}
if err := c.Bind(user); err != nil {
log.Errorf("Failed to bind user: %v", err) // Safe - err is controlled
return c.Error(400, err)
}
// Vulnerable pattern - user.Email comes from HTTP request
log.Debugf("Creating user with email: %s", user.Email)
return c.Render(200, r.JSON(user))
}
An attacker can exploit this by submitting an email like:
innocent@example.com
ERROR: Injection successful
This creates log entries that appear to be genuine application errors, potentially triggering false alerts or masking real issues.
Buffalo's middleware chain presents another attack surface. The request logger middleware logs all incoming requests:
func RequestLogger(next buffalo.Handler) buffalo.Handler {
return func(c buffalo.Context) error {
log.Debugf("Request: %s %s", c.Request().Method, c.Request().URL) // Vulnerable
return next(c)
}
}
An attacker can craft URLs with newline characters and log levels:
GET /api/users?email=test@example.com%0AINFO:+Attacker+controlled+log
This results in log entries that appear to be informational messages from the application itself, making forensic analysis difficult.
Buffalo's Pop ORM integration creates additional risks when database errors are logged without sanitization:
func FindUser(c buffalo.Context) error {
var user models.User
err := models.DB.Where("email = ?", c.Param("email")).First(&user)
if err != nil {
log.Errorf("Database error: %v", err) // Safe - err is controlled
return c.Error(500, err)
}
log.Debugf("Found user: %+v", user) // Vulnerable if user struct contains attacker data
return c.Render(200, r.JSON(user))
}
If the User model contains fields populated from untrusted sources, those values can contain malicious log content.
Buffalo-Specific Detection
Detecting log injection in Buffalo applications requires examining both the codebase and runtime behavior. middleBrick's API security scanner includes specific checks for log injection patterns in Go applications, including Buffalo-specific code structures.
Static analysis should focus on these Buffalo patterns:
# Search for vulnerable log patterns in Buffalo controllers
find . -name "*.go" -exec grep -l "log\.\(Debug\|Info\|Error\|Warn\)" {} \; | xargs grep -n "c\.Bind\|c\.Param\|c\.Request"
This identifies log statements that might be logging user-controlled data from Buffalo's context object.
middleBrick's scanner specifically detects:
- Log statements in Buffalo controllers that log HTTP request parameters
- Middleware that logs request data without sanitization
- Database error logging that might expose sensitive information
- Structured logging with user-controlled field names
The scanner examines Buffalo's generated code structure, looking for patterns in:
// Actions directory - controller files
// Models directory - data structures that might be logged
// Config directory - logging configuration
// Migrations - database operations that might log errors
Runtime detection involves monitoring log files for suspicious patterns:
# Monitor for log injection indicators
journalctl -u buffalo-app -f | grep -E "(ERROR|INFO|DEBUG):.*%0A|newline.*log|log.*level"
middleBrick's continuous monitoring (Pro plan) can alert when suspicious log patterns appear in production, helping identify active exploitation attempts.
Buffalo-Specific Remediation
Buffalo provides several native approaches to prevent log injection. The most effective is using structured logging with proper field separation:
func UserCreate(c buffalo.Context) error {
user := &models.User{}
if err := c.Bind(user); err != nil {
log.Errorf("Failed to bind user: %v", err)
return c.Error(400, err)
}
// Safe - structured logging with field separation
log.Debugf("Creating user", "email", user.Email)
return c.Render(200, r.JSON(user))
}
Buffalo's default logger (Logrus) automatically handles field separation, preventing newline injection from creating new log entries.
For request logging middleware, sanitize input before logging:
func SanitizedRequestLogger(next buffalo.Handler) buffalo.Handler {
return func(c buffalo.Context) error {
req := c.Request()
sanitizedURL := strings.ReplaceAll(req.URL.String(), "\n", " ")
sanitizedURL = strings.ReplaceAll(sanitizedURL, "\r", " ")
log.Debugf("Request: %s %s", req.Method, sanitizedURL)
return next(c)
}
}
Buffalo's validation framework can help sanitize data before logging:
import "github.com/go-playground/validator"
func SafeLogUser(user *models.User) {
v := validator.New()
validateErr := v.Struct(user)
if validateErr != nil {
log.Warnf("Invalid user data - cannot log safely")
return
}
// Safe to log - validated structure
log.Debugf("User data: %+v", user)
}
For database operations, use Pop's error handling with safe logging:
func FindUser(c buffalo.Context) error {
var user models.User
err := models.DB.Where("email = ?", c.Param("email")).First(&user)
if err != nil {
// Safe - only log error message, not user data
log.Errorf("Failed to find user: %v", err.Error())
return c.Error(500, err)
}
// Log only specific fields, not entire struct
log.Debugf("Found user: %s", user.Email)
return c.Render(200, r.JSON(user))
}
middleBrick's GitHub Action integration can enforce these patterns in CI/CD:
- name: Scan for log injection
uses: middlebrick/middlebrick-action@v1
with:
url: http://staging.example.com
fail-on-severity: high
env:
MIDDLEBRICK_API_KEY: ${{ secrets.MIDDLEBRICK_API_KEY }}