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Commit 8bbfc51d authored by Andrew's avatar Andrew Committed by Andrew Bonventre
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all: base64-encode binaries that will cause Apple notarization to fail 

Starting with macOS 10.15 (Catalina), Apple now requires all software
distributed outside of the App Store to be notarized. Any binaries we
distribute must abide by a strict set of requirements like code-signing
and having a minimum target SDK of 10.9 (amongst others).

Apple’s notarization service will recursively inspect archives looking to
find notarization candidate binaries. If it finds a binary that does not
meet the requirements or is unable to decompress an archive, it will
reject the entire distribution. From cursory testing, it seems that the
service uses content sniffing to determine file types, so changing
the file extension will not work.

There are some binaries and archives included in our distribution that
are being detected by Apple’s service as potential candidates for
notarization or decompression. As these are files used by tests and some
are intentionally invalid, we don’t intend to ever make them compliant.

As a workaround for this, we base64-encode any binaries or archives that
Apple’s notarization service issues a warning for, as these warnings will
become errors in January 2020.

Updates #34986

Change-Id: I106fbb6227b61eb221755568f047ee11103c1680
Reviewed-on: https://go-review.googlesource.com/c/go/+/208118
Run-TryBot: Andrew Bonventre <andybons@golang.org>
TryBot-Result: Gobot Gobot <gobot@golang.org>
Reviewed-by: default avatarBrad Fitzpatrick <bradfitz@golang.org>
parent 39a9cb4b
Hide whitespace changes
Inline Side-by-side
Showing with 194 additions and 45 deletions
src/archive/zip/reader_test.go
View file @ 8bbfc51d
...@@ -8,6 +8,7 @@ import ( ...@@ -8,6 +8,7 @@ import (
"bytes" "bytes"
"encoding/binary" "encoding/binary"
"encoding/hex" "encoding/hex"
"internal/obscuretestdata"
"io" "io"
"io/ioutil" "io/ioutil"
"os" "os"
...@@ -19,11 +20,12 @@ import ( ...@@ -19,11 +20,12 @@ import (
) )
type ZipTest struct { type ZipTest struct {
Name string Name string
Source func() (r io.ReaderAt, size int64) // if non-nil, used instead of testdata/<Name> file Source func() (r io.ReaderAt, size int64) // if non-nil, used instead of testdata/<Name> file
Comment string Comment string
File []ZipTestFile File []ZipTestFile
Error error // the error that Opening this file should return Obscured bool // needed for Apple notarization (golang.org/issue/34986)
Error error // the error that Opening this file should return
} }
type ZipTestFile struct { type ZipTestFile struct {
...@@ -189,8 +191,12 @@ var tests = []ZipTest{ ...@@ -189,8 +191,12 @@ var tests = []ZipTest{
}, },
{ {
// created by Go, before we wrote the "optional" data // created by Go, before we wrote the "optional" data
// descriptor signatures (which are required by OS X) // descriptor signatures (which are required by macOS).
Name: "go-no-datadesc-sig.zip", // Use obscured file to avoid Apple’s notarization service
// rejecting the toolchain due to an inability to unzip this archive.
// See golang.org/issue/34986
Name: "go-no-datadesc-sig.zip.base64",
Obscured: true,
File: []ZipTestFile{ File: []ZipTestFile{
{ {
Name: "foo.txt", Name: "foo.txt",
...@@ -208,7 +214,7 @@ var tests = []ZipTest{ ...@@ -208,7 +214,7 @@ var tests = []ZipTest{
}, },
{ {
// created by Go, after we wrote the "optional" data // created by Go, after we wrote the "optional" data
// descriptor signatures (which are required by OS X) // descriptor signatures (which are required by macOS)
Name: "go-with-datadesc-sig.zip", Name: "go-with-datadesc-sig.zip",
File: []ZipTestFile{ File: []ZipTestFile{
{ {
...@@ -496,8 +502,18 @@ func readTestZip(t *testing.T, zt ZipTest) { ...@@ -496,8 +502,18 @@ func readTestZip(t *testing.T, zt ZipTest) {
rat, size := zt.Source() rat, size := zt.Source()
z, err = NewReader(rat, size) z, err = NewReader(rat, size)
} else { } else {
path := filepath.Join("testdata", zt.Name)
if zt.Obscured {
tf, err := obscuretestdata.DecodeToTempFile(path)
if err != nil {
t.Errorf("obscuretestdata.DecodeToTempFile(%s): %v", path, err)
return
}
defer os.Remove(tf)
path = tf
}
var rc *ReadCloser var rc *ReadCloser
rc, err = OpenReader(filepath.Join("testdata", zt.Name)) rc, err = OpenReader(path)
if err == nil { if err == nil {
defer rc.Close() defer rc.Close()
z = &rc.Reader z = &rc.Reader
......
src/archive/zip/testdata/go-no-datadesc-sig.zip.base64 0 → 100644
View file @ 8bbfc51d
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src/cmd/internal/buildid/buildid_test.go
View file @ 8bbfc51d
...@@ -7,6 +7,7 @@ package buildid ...@@ -7,6 +7,7 @@ package buildid
import ( import (
"bytes" "bytes"
"crypto/sha256" "crypto/sha256"
"internal/obscuretestdata"
"io/ioutil" "io/ioutil"
"os" "os"
"reflect" "reflect"
...@@ -19,13 +20,6 @@ const ( ...@@ -19,13 +20,6 @@ const (
) )
func TestReadFile(t *testing.T) { func TestReadFile(t *testing.T) {
var files = []string{
"p.a",
"a.elf",
"a.macho",
"a.pe",
}
f, err := ioutil.TempFile("", "buildid-test-") f, err := ioutil.TempFile("", "buildid-test-")
if err != nil { if err != nil {
t.Fatal(err) t.Fatal(err)
...@@ -34,26 +28,43 @@ func TestReadFile(t *testing.T) { ...@@ -34,26 +28,43 @@ func TestReadFile(t *testing.T) {
defer os.Remove(tmp) defer os.Remove(tmp)
f.Close() f.Close()
for _, f := range files { // Use obscured files to prevent Apple’s notarization service from
id, err := ReadFile("testdata/" + f) // mistaking them as candidates for notarization and rejecting the entire
// toolchain.
// See golang.org/issue/34986
var files = []string{
"p.a.base64",
"a.elf.base64",
"a.macho.base64",
"a.pe.base64",
}
for _, name := range files {
f, err := obscuretestdata.DecodeToTempFile("testdata/" + name)
if err != nil {
t.Errorf("obscuretestdata.DecodeToTempFile(testdata/%s): %v", name, err)
continue
}
defer os.Remove(f)
id, err := ReadFile(f)
if id != expectedID || err != nil { if id != expectedID || err != nil {
t.Errorf("ReadFile(testdata/%s) = %q, %v, want %q, nil", f, id, err, expectedID) t.Errorf("ReadFile(testdata/%s) = %q, %v, want %q, nil", f, id, err, expectedID)
} }
old := readSize old := readSize
readSize = 2048 readSize = 2048
id, err = ReadFile("testdata/" + f) id, err = ReadFile(f)
readSize = old readSize = old
if id != expectedID || err != nil { if id != expectedID || err != nil {
t.Errorf("ReadFile(testdata/%s) [readSize=2k] = %q, %v, want %q, nil", f, id, err, expectedID) t.Errorf("ReadFile(%s) [readSize=2k] = %q, %v, want %q, nil", f, id, err, expectedID)
} }
data, err := ioutil.ReadFile("testdata/" + f) data, err := ioutil.ReadFile(f)
if err != nil { if err != nil {
t.Fatal(err) t.Fatal(err)
} }
m, _, err := FindAndHash(bytes.NewReader(data), expectedID, 1024) m, _, err := FindAndHash(bytes.NewReader(data), expectedID, 1024)
if err != nil { if err != nil {
t.Errorf("FindAndHash(testdata/%s): %v", f, err) t.Errorf("FindAndHash(%s): %v", f, err)
continue continue
} }
if err := ioutil.WriteFile(tmp, data, 0666); err != nil { if err := ioutil.WriteFile(tmp, data, 0666); err != nil {
...@@ -68,7 +79,7 @@ func TestReadFile(t *testing.T) { ...@@ -68,7 +79,7 @@ func TestReadFile(t *testing.T) {
err = Rewrite(tf, m, newID) err = Rewrite(tf, m, newID)
err2 := tf.Close() err2 := tf.Close()
if err != nil { if err != nil {
t.Errorf("Rewrite(testdata/%s): %v", f, err) t.Errorf("Rewrite(%s): %v", f, err)
continue continue
} }
if err2 != nil { if err2 != nil {
...@@ -77,7 +88,7 @@ func TestReadFile(t *testing.T) { ...@@ -77,7 +88,7 @@ func TestReadFile(t *testing.T) {
id, err = ReadFile(tmp) id, err = ReadFile(tmp)
if id != newID || err != nil { if id != newID || err != nil {
t.Errorf("ReadFile(testdata/%s after Rewrite) = %q, %v, want %q, nil", f, id, err, newID) t.Errorf("ReadFile(%s after Rewrite) = %q, %v, want %q, nil", f, id, err, newID)
} }
} }
} }
......
src/cmd/internal/buildid/testdata/a.elf.base64 0 → 100644
View file @ 8bbfc51d
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src/cmd/internal/buildid/testdata/a.macho.base64 0 → 100644
View file @ 8bbfc51d
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src/cmd/internal/buildid/testdata/a.pe.base64 0 → 100644
View file @ 8bbfc51d
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src/cmd/internal/buildid/testdata/p.a.base64 0 → 100644
View file @ 8bbfc51d
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
src/cmd/nm/nm_test.go
View file @ 8bbfc51d
...@@ -6,6 +6,7 @@ package main ...@@ -6,6 +6,7 @@ package main
import ( import (
"fmt" "fmt"
"internal/obscuretestdata"
"internal/testenv" "internal/testenv"
"io/ioutil" "io/ioutil"
"os" "os"
...@@ -57,8 +58,8 @@ func TestNonGoExecs(t *testing.T) { ...@@ -57,8 +58,8 @@ func TestNonGoExecs(t *testing.T) {
testfiles := []string{ testfiles := []string{
"debug/elf/testdata/gcc-386-freebsd-exec", "debug/elf/testdata/gcc-386-freebsd-exec",
"debug/elf/testdata/gcc-amd64-linux-exec", "debug/elf/testdata/gcc-amd64-linux-exec",
"debug/macho/testdata/gcc-386-darwin-exec", "debug/macho/testdata/gcc-386-darwin-exec.base64", // golang.org/issue/34986
"debug/macho/testdata/gcc-amd64-darwin-exec", "debug/macho/testdata/gcc-amd64-darwin-exec.base64", // golang.org/issue/34986
// "debug/pe/testdata/gcc-amd64-mingw-exec", // no symbols! // "debug/pe/testdata/gcc-amd64-mingw-exec", // no symbols!
"debug/pe/testdata/gcc-386-mingw-exec", "debug/pe/testdata/gcc-386-mingw-exec",
"debug/plan9obj/testdata/amd64-plan9-exec", "debug/plan9obj/testdata/amd64-plan9-exec",
...@@ -67,6 +68,16 @@ func TestNonGoExecs(t *testing.T) { ...@@ -67,6 +68,16 @@ func TestNonGoExecs(t *testing.T) {
} }
for _, f := range testfiles { for _, f := range testfiles {
exepath := filepath.Join(runtime.GOROOT(), "src", f) exepath := filepath.Join(runtime.GOROOT(), "src", f)
if strings.HasSuffix(f, ".base64") {
tf, err := obscuretestdata.DecodeToTempFile(exepath)
if err != nil {
t.Errorf("obscuretestdata.DecodeToTempFile(%s): %v", exepath, err)
continue
}
defer os.Remove(tf)
exepath = tf
}
cmd := exec.Command(testnmpath, exepath) cmd := exec.Command(testnmpath, exepath)
out, err := cmd.CombinedOutput() out, err := cmd.CombinedOutput()
if err != nil { if err != nil {
......
src/compress/gzip/gunzip_test.go
View file @ 8bbfc51d
...@@ -7,6 +7,7 @@ package gzip ...@@ -7,6 +7,7 @@ package gzip
import ( import (
"bytes" "bytes"
"compress/flate" "compress/flate"
"encoding/base64"
"io" "io"
"io/ioutil" "io/ioutil"
"os" "os"
...@@ -413,11 +414,16 @@ func TestDecompressor(t *testing.T) { ...@@ -413,11 +414,16 @@ func TestDecompressor(t *testing.T) {
} }
func TestIssue6550(t *testing.T) { func TestIssue6550(t *testing.T) {
f, err := os.Open("testdata/issue6550.gz") // Apple’s notarization service will recursively attempt to decompress
// files in order to find binaries to notarize. Since the service is
// unable to decompress this file, it may reject the entire toolchain. Use a
// base64-encoded version to avoid this.
// See golang.org/issue/34986
f, err := os.Open("testdata/issue6550.gz.base64")
if err != nil { if err != nil {
t.Fatal(err) t.Fatal(err)
} }
gzip, err := NewReader(f) gzip, err := NewReader(base64.NewDecoder(base64.StdEncoding, f))
if err != nil { if err != nil {
t.Fatalf("NewReader(testdata/issue6550.gz): %v", err) t.Fatalf("NewReader(testdata/issue6550.gz): %v", err)
} }
......
src/compress/gzip/testdata/issue6550.gz.base64 0 → 100644
View file @ 8bbfc51d
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
src/debug/macho/file_test.go
View file @ 8bbfc51d
...@@ -5,6 +5,9 @@ ...@@ -5,6 +5,9 @@
package macho package macho
import ( import (
"bytes"
"internal/obscuretestdata"
"io"
"reflect" "reflect"
"testing" "testing"
) )
...@@ -19,7 +22,7 @@ type fileTest struct { ...@@ -19,7 +22,7 @@ type fileTest struct {
var fileTests = []fileTest{ var fileTests = []fileTest{
{ {
"testdata/gcc-386-darwin-exec", "testdata/gcc-386-darwin-exec.base64",
FileHeader{0xfeedface, Cpu386, 0x3, 0x2, 0xc, 0x3c0, 0x85}, FileHeader{0xfeedface, Cpu386, 0x3, 0x2, 0xc, 0x3c0, 0x85},
[]interface{}{ []interface{}{
&SegmentHeader{LoadCmdSegment, 0x38, "__PAGEZERO", 0x0, 0x1000, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}, &SegmentHeader{LoadCmdSegment, 0x38, "__PAGEZERO", 0x0, 0x1000, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0},
...@@ -45,7 +48,7 @@ var fileTests = []fileTest{ ...@@ -45,7 +48,7 @@ var fileTests = []fileTest{
nil, nil,
}, },
{ {
"testdata/gcc-amd64-darwin-exec", "testdata/gcc-amd64-darwin-exec.base64",
FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0x2, 0xb, 0x568, 0x85}, FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0x2, 0xb, 0x568, 0x85},
[]interface{}{ []interface{}{
&SegmentHeader{LoadCmdSegment64, 0x48, "__PAGEZERO", 0x0, 0x100000000, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0}, &SegmentHeader{LoadCmdSegment64, 0x48, "__PAGEZERO", 0x0, 0x100000000, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0},
...@@ -73,7 +76,7 @@ var fileTests = []fileTest{ ...@@ -73,7 +76,7 @@ var fileTests = []fileTest{
nil, nil,
}, },
{ {
"testdata/gcc-amd64-darwin-exec-debug", "testdata/gcc-amd64-darwin-exec-debug.base64",
FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0xa, 0x4, 0x5a0, 0}, FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0xa, 0x4, 0x5a0, 0},
[]interface{}{ []interface{}{
nil, // LC_UUID nil, // LC_UUID
...@@ -101,7 +104,7 @@ var fileTests = []fileTest{ ...@@ -101,7 +104,7 @@ var fileTests = []fileTest{
nil, nil,
}, },
{ {
"testdata/clang-386-darwin-exec-with-rpath", "testdata/clang-386-darwin-exec-with-rpath.base64",
FileHeader{0xfeedface, Cpu386, 0x3, 0x2, 0x10, 0x42c, 0x1200085}, FileHeader{0xfeedface, Cpu386, 0x3, 0x2, 0x10, 0x42c, 0x1200085},
[]interface{}{ []interface{}{
nil, // LC_SEGMENT nil, // LC_SEGMENT
...@@ -125,7 +128,7 @@ var fileTests = []fileTest{ ...@@ -125,7 +128,7 @@ var fileTests = []fileTest{
nil, nil,
}, },
{ {
"testdata/clang-amd64-darwin-exec-with-rpath", "testdata/clang-amd64-darwin-exec-with-rpath.base64",
FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0x2, 0x10, 0x4c8, 0x200085}, FileHeader{0xfeedfacf, CpuAmd64, 0x80000003, 0x2, 0x10, 0x4c8, 0x200085},
[]interface{}{ []interface{}{
nil, // LC_SEGMENT nil, // LC_SEGMENT
...@@ -149,7 +152,7 @@ var fileTests = []fileTest{ ...@@ -149,7 +152,7 @@ var fileTests = []fileTest{
nil, nil,
}, },
{ {
"testdata/clang-386-darwin.obj", "testdata/clang-386-darwin.obj.base64",
FileHeader{0xfeedface, Cpu386, 0x3, 0x1, 0x4, 0x138, 0x2000}, FileHeader{0xfeedface, Cpu386, 0x3, 0x1, 0x4, 0x138, 0x2000},
nil, nil,
nil, nil,
...@@ -184,7 +187,7 @@ var fileTests = []fileTest{ ...@@ -184,7 +187,7 @@ var fileTests = []fileTest{
}, },
}, },
{ {
"testdata/clang-amd64-darwin.obj", "testdata/clang-amd64-darwin.obj.base64",
FileHeader{0xfeedfacf, CpuAmd64, 0x3, 0x1, 0x4, 0x200, 0x2000}, FileHeader{0xfeedfacf, CpuAmd64, 0x3, 0x1, 0x4, 0x200, 0x2000},
nil, nil,
nil, nil,
...@@ -221,11 +224,47 @@ var fileTests = []fileTest{ ...@@ -221,11 +224,47 @@ var fileTests = []fileTest{
}, },
} }
func readerAtFromObscured(name string) (io.ReaderAt, error) {
b, err := obscuretestdata.ReadFile(name)
if err != nil {
return nil, err
}
return bytes.NewReader(b), nil
}
func openObscured(name string) (*File, error) {
ra, err := readerAtFromObscured(name)
if err != nil {
return nil, err
}
ff, err := NewFile(ra)
if err != nil {
return nil, err
}
return ff, nil
}
func openFatObscured(name string) (*FatFile, error) {
ra, err := readerAtFromObscured(name)
if err != nil {
return nil, err
}
ff, err := NewFatFile(ra)
if err != nil {
return nil, err
}
return ff, nil
}
func TestOpen(t *testing.T) { func TestOpen(t *testing.T) {
for i := range fileTests { for i := range fileTests {
tt := &fileTests[i] tt := &fileTests[i]
f, err := Open(tt.file) // Use obscured files to prevent Apple’s notarization service from
// mistaking them as candidates for notarization and rejecting the entire
// toolchain.
// See golang.org/issue/34986
f, err := openObscured(tt.file)
if err != nil { if err != nil {
t.Error(err) t.Error(err)
continue continue
...@@ -318,7 +357,7 @@ func TestOpenFailure(t *testing.T) { ...@@ -318,7 +357,7 @@ func TestOpenFailure(t *testing.T) {
} }
func TestOpenFat(t *testing.T) { func TestOpenFat(t *testing.T) {
ff, err := OpenFat("testdata/fat-gcc-386-amd64-darwin-exec") ff, err := openFatObscured("testdata/fat-gcc-386-amd64-darwin-exec.base64")
if err != nil { if err != nil {
t.Fatal(err) t.Fatal(err)
} }
...@@ -350,8 +389,8 @@ func TestOpenFatFailure(t *testing.T) { ...@@ -350,8 +389,8 @@ func TestOpenFatFailure(t *testing.T) {
t.Errorf("OpenFat %s: succeeded unexpectedly", filename) t.Errorf("OpenFat %s: succeeded unexpectedly", filename)
} }
filename = "testdata/gcc-386-darwin-exec" // not a fat Mach-O filename = "testdata/gcc-386-darwin-exec.base64" // not a fat Mach-O
ff, err := OpenFat(filename) ff, err := openFatObscured(filename)
if err != ErrNotFat { if err != ErrNotFat {
t.Errorf("OpenFat %s: got %v, want ErrNotFat", filename, err) t.Errorf("OpenFat %s: got %v, want ErrNotFat", filename, err)
} }
......
src/debug/macho/testdata/clang-386-darwin-exec-with-rpath.base64 0 → 100644
View file @ 8bbfc51d
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src/debug/macho/testdata/gcc-386-darwin-exec.base64 0 → 100644
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src/debug/macho/testdata/gcc-amd64-darwin-exec-debug.base64 0 → 100644
View file @ 8bbfc51d
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src/debug/macho/testdata/gcc-amd64-darwin-exec.base64 0 → 100644
View file @ 8bbfc51d
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src/go/build/deps_test.go
View file @ 8bbfc51d
...@@ -198,12 +198,13 @@ var pkgDeps = map[string][]string{ ...@@ -198,12 +198,13 @@ var pkgDeps = map[string][]string{
"runtime/trace": {"L0", "context", "fmt"}, "runtime/trace": {"L0", "context", "fmt"},
"text/tabwriter": {"L2"}, "text/tabwriter": {"L2"},
"testing": {"L2", "flag", "fmt", "internal/race", "os", "runtime/debug", "runtime/pprof", "runtime/trace", "time"}, "testing": {"L2", "flag", "fmt", "internal/race", "os", "runtime/debug", "runtime/pprof", "runtime/trace", "time"},
"testing/iotest": {"L2", "log"}, "testing/iotest": {"L2", "log"},
"testing/quick": {"L2", "flag", "fmt", "reflect", "time"}, "testing/quick": {"L2", "flag", "fmt", "reflect", "time"},
"internal/testenv": {"L2", "OS", "flag", "testing", "syscall", "internal/cfg"}, "internal/obscuretestdata": {"L2", "OS", "encoding/base64"},
"internal/lazyregexp": {"L2", "OS", "regexp"}, "internal/testenv": {"L2", "OS", "flag", "testing", "syscall", "internal/cfg"},
"internal/lazytemplate": {"L2", "OS", "text/template"}, "internal/lazyregexp": {"L2", "OS", "regexp"},
"internal/lazytemplate": {"L2", "OS", "text/template"},
// L4 is defined as L3+fmt+log+time, because in general once // L4 is defined as L3+fmt+log+time, because in general once
// you're using L3 packages, use of fmt, log, or time is not a big deal. // you're using L3 packages, use of fmt, log, or time is not a big deal.
......
src/internal/obscuretestdata/obscuretestdata.go 0 → 100644
View file @ 8bbfc51d
// Copyright 2019 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.
// Package obscuretestdata contains functionality used by tests to more easily
// work with testdata that must be obscured primarily due to
// golang.org/issue/34986.
package obscuretestdata
import (
"encoding/base64"
"io"
"io/ioutil"
"os"
)
// DecodeToTempFile decodes the named file to a temporary location.
// If successful, it returns the path of the decoded file.
// The caller is responsible for ensuring that the temporary file is removed.
func DecodeToTempFile(name string) (path string, err error) {
f, err := os.Open(name)
if err != nil {
return "", err
}
defer f.Close()
tmp, err := ioutil.TempFile("", "obscuretestdata-decoded-")
if err != nil {
return "", err
}
if _, err := io.Copy(tmp, base64.NewDecoder(base64.StdEncoding, f)); err != nil {
tmp.Close()
os.Remove(tmp.Name())
return "", err
}
if err := tmp.Close(); err != nil {
os.Remove(tmp.Name())
return "", err
}
return tmp.Name(), nil
}
// ReadFile reads the named file and returns its decoded contents.
func ReadFile(name string) ([]byte, error) {
f, err := os.Open(name)
if err != nil {
return nil, err
}
defer f.Close()
return ioutil.ReadAll(base64.NewDecoder(base64.StdEncoding, f))
}
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