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Java provides the java.util.zip package for zip-compatible data compression.   It provides classes that allow enable you to read, create, and modify ZIP and GZIP file formats. 

There are a A number of security concerns must be considered when extracting file entries from a ZIP file using java.util.zip.ZipInputStream.   File names may contain path traversal information so that they are that may cause them to be extracted outside of the intended directory, frequently with the purpose of overwriting existing system files.  Directory traversal or path equivalence vulnerabilities can be eliminated by canonicalizing the path name per , in accordance with FIO16-J. Canonicalize path names before validating them) , and then validating the location before extraction.

A second issue is that the extraction and entries that process can cause excessive consumption of system resources. This may result , possibly resulting in a denial-of-service attack when resource usage is disproportionately large in comparison compared to the input data. The zip algorithm can produce very large compression ratios [Mahmoud 2002]. For example, a file consisting of alternating lines of a characters and b characters can achieve a compression ratio of more than 200 to 1. Even higher compression ratios can be obtained using input data that is targeted to the compression algorithm, more input data, or other compression methods. This permits the existence of zip bombs in which a small ZIP and or GZIP file consumes excessive resources when uncompressed because of extreme compression.   An example of a zip bomb is the file 42.zip, which is a zip file consisting of 42 kilobytes of compressed data, containing five layers of nested zip files in sets of 16, each bottom layer archive containing a 4.3 gigabyte (4 294 967 295 bytes; ~ 3.99 GiB) file for a total of 4.5 petabytes (4 503 599 626 321 920 bytes; ~ 3.99 PiB) of uncompressed data. Zip bombs often rely on repetition of identical files to achieve their extreme compression ratios. Programs must either limit the traversal of such files or refuse to extract data beyond a certain limit. The actual limit depends on the capabilities of the platform and expected usage.

...

This noncompliant code attempts to overcome the problem by calling the method ZipEntry.getSize() to check the uncompressed file size before uncompressing it.   Unfortunately, a malicious attacker can forge the field in the ZIP file that purports to show the uncompressed size of the file. So,  the so the value returned by getSize() is unreliable, and local resources may still be exhausted.

Code Block
bgColor#FFcccc
static final int BUFFER = 512;
static final int TOOBIG = 0x6400000; // 100MB
// ...

public final void unzip(String filename) throws java.io.IOException{
  FileInputStream fis = new FileInputStream(filename);
  ZipInputStream zis = new ZipInputStream(new BufferedInputStream(fis));
  ZipEntry entry;
  try {
    while ((entry = zis.getNextEntry()) != null) {
      System.out.println("Extracting: " + entry);
      int count;
      byte data[] = new byte[BUFFER];
      // Write the files to the disk, but only if the file is not insanely big
      if (entry.getSize() > TOOBIG ) {
         throw new IllegalStateException("File to be unzipped is huge.");
      }
      if (entry.getSize() == -1) {
         throw new IllegalStateException("File to be unzipped might be huge.");
      }
      FileOutputStream fos = new FileOutputStream(entry.getName());
      BufferedOutputStream dest = new BufferedOutputStream(fos, BUFFER);
      while ((count = zis.read(data, 0, BUFFER)) != -1) {
        dest.write(data, 0, count);
      }
      dest.flush();
      dest.close();
      zis.closeEntry();
    }
  } finally {
    zis.close();
  }
}

Acknowledgement: The vulnerability in this code was pointed out by Giancarlo Pellegrino, researcher at the Technical University of Darmstadt in Germany, and Davide Balzarotti, faculty member of EURECOM in France.

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Furthermore, the code inside the while loop tracks the uncompressed file size of each entry in a zip archive while extracting the entry. It throws an exception if the entry being extracted is too large—about 100MB in this case. We do not use the ZipEntry.getSize() method because the value it reports is not reliable. Finally, the code also counts the number of file entries in the archive , and throws an exception if there are more than 1024 entries.

Code Block
bgColor#ccccff
static final int BUFFER = 512;
static final intlong TOOBIG = 0x6400000; // maxMax size of unzipped data, 100MB
static final int TOOMANY = 1024;      // maxMax number of files
// ...

private String validateFilename(String filename, String intendedDir)
      throws java.io.IOException {
  File f = new File(filename);
  String canonicalPath = f.getCanonicalPath(); 

  File iD = new File(intendedDir);
  String canonicalID = iD.getCanonicalPath();
  
  if (canonicalPath.startsWith(canonicalID)) {
    return canonicalPath;
  } else {
    throw new IllegalStateException("File is outside extraction target directory.");
  }
}

public final void unzip(String filename) throws java.io.IOException {
  FileInputStream fis = new FileInputStream(filename);
  ZipInputStream zis = new ZipInputStream(new BufferedInputStream(fis));
  ZipEntry entry;
  int entries = 0;
  long total = 0;
  try {
    while ((entry = zis.getNextEntry()) != null) {
      System.out.println("Extracting: " + entry);
      int count;
      byte data[] = new byte[BUFFER];
      // Write the files to the disk, but ensure that the filename is valid,
      // and that the file is not insanely big
      String name = validateFilename(entry.getName(), ".");
      if (entry.isDirectory()) {
        System.out.println("Creating directory " + name);
        new File(name).mkdir();
        continue;
      }
      FileOutputStream fos = new FileOutputStream(name);
      BufferedOutputStream dest = new BufferedOutputStream(fos, BUFFER);
      while (total + BUFFER <= TOOBIG && (count = zis.read(data, 0, BUFFER)) != -1) {
        dest.write(data, 0, count);
        total += count;
      }
      dest.flush();
      dest.close();
      zis.closeEntry();
      entries++;
      if (entries > TOOMANY) {
        throw new IllegalStateException("Too many files to unzip.");
      }
      if (total + BUFFER > TOOBIG) {
        throw new IllegalStateException("File being unzipped is too big.");
      }
    }
  } finally {
    zis.close();
  }
}

Risk Assessment

Rule

Severity

Likelihood

Remediation Cost

Priority

Level

IDS04-J

low

Low

probable

Probable

high

High

P2

L3

Automated Detection

ToolVersionCheckerDescription
The Checker Framework

Include Page
The Checker Framework_V
The Checker Framework_V

Tainting CheckerTrust and security errors (see Chapter 8)
SonarQube
Include Page
SonarQube_V
SonarQube_V

S5042

Expanding archive files is security-sensitive

Related Guidelines

MITRE CWE

CWE-409, Improper

handling of highly compressed data (data amplification

Handling of Highly Compressed Data (Data Amplification)

Secure Coding Guidelines for

the

Java

Programming Language

SE, Version

3

5.0

Guideline

2-5, Check that inputs do not cause excessive resource consumption

1-1 / DOS-1: Beware of activities that may use disproportionate resources

Related Vulnerabilities

VulnerabilityDescription
Zip Slip

Zip Slip is a form of directory traversal that can be exploited by extracting files from an archive. It is caused by a failure to validate path names of the files within an archive which can lead to files being extracted outside of the intended directory and overwriting existing system files. An attacker can exploit this vulnerability to overwrite executable files to achieve remote command execution on a victim’s machine. Snyk responsibly disclosed the vulnerability before public disclosure on June 5th 2018. Their blog post and technical paper detailing the vulnerability can be found at https://snyk.io/blog/zip-slip-vulnerability/.


Android Implementation Details

Although not directly a violation of this rule, the Android Master Key vulnerability (insecure use of ZipEntry) is related to this rule. Another attack vector, found by a Chinese researcher in China, is also related to this rule.

Bibliography


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