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Regular expressions (regex) are commonly used to match strings of text. As such, regular expressions can be found in applications that search through text. A notable example includes the *NIX grep utility. For example, a programmer may want this kind of functionality for searching through log files.

Java's regular expression facilities are wide ranging and powerful which can lead to unwanted modification of the original regular expression string to form a pattern that matches too widely, possibly resulting in far too much information being matched.

One method of preventing this vulnerability is to parse out the sensitive information prior to matching and then running the user-supplied regex against that. However, if the log format changes without a corresponding change in the class, sensitive information may be exposed. Furthermore, depending on how encapsulated the search keywords are, a malicious user may be able to grab a list of all the keywords (If there are a lot of keywords, this may cause a denial of service).

The primary means of preventing this vulnerability is to sanitize a regular expression string coming from untrusted input. One may whitelist certain characters (such as letters and digits) before passing the user supplied string to the regex parser. Blacklisting certain operators might be difficult due to the variability of the regex language.

Additionally, the programmer could look into ways of avoiding using regular expressions from untrusted input, or perhaps provide only a very limited subset of regular expression functionality to the user.

Constructs and properties of Java regular expressions to watch out for include:

  • match flags used in non-capturing groups (These override matching options that may or may not have been passed into the compile() method.)
  • greediness (where the regular expression tries to match as much of the string as possible, which may expose too much information)
  • grouping (where the programmer can define certain smaller parts of the regular expression to capture and return, but a malicious user may be able to use to make his own groupings)

For introductory information on regular expressions, see Wikipedia

Noncompliant Code Example

This noncompliant code example searches a log file of previous searches for keywords that match a regular expression to present search suggestions to the user. The function suggestSearches() is repeatedly called to bring up suggestions for the user for auto-completion. The full log of previous searches is stored in the logBuffer StringBuilder object. The strings in logBuffer are periodically copied to the log String object for use in searchSuggestions().

import java.util.HashSet;
import java.util.Set;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public final class ExploitableLog {
  private static final StringBuilder logBuffer = new StringBuilder();
  private static String log = logBuffer.toString();

  static {
    // this is supposed to come from a file, but its here as a string for
    // illustrative purposes
    append("Alice,1267773881,2147651408\n");
    append("Bono,1267774881,2147351708\n");
    append("Charles,1267775881,1175523058\n");
    append("Cecilia,1267773222,291232332\n");
  }
      
  private static void append(CharSequence str) {
    logBuffer.append(str);
    log = logBuffer.toString(); //update log string on append
  }

  public static Set<String> suggestSearches(String search) {
    Set<String> searches = new HashSet<String>();

    // Construct regex from user string
    String regex = "^(" + search + ".*),[0-9]+?,[0-9]+?$";
    int flags = Pattern.MULTILINE;
    Pattern keywordPattern = Pattern.compile(regex, flags);

    // Match regex
    Matcher logMatcher = keywordPattern.matcher(log);
    while (logMatcher.find()) {
      String found = logMatcher.group(1);
      searches.add(found);
    }

    return searches;
  }
}

The regex used to search the log is:

^(" + search + ".*),[0-9]+?,[0-9]+?$

This regex matches against an entire line of the log and searches for old searches beginning with the entered keyword. The anchoring operators and use of the reluctance operators mitigate some greediness concerns. The grouping characters allow the program to grab only the keyword while still matching the IP and timestamp. Because the log String contains multiple lines, the MULTILINE flag must be active to force the anchoring operators to match against newlines. By all appearances, this is a strong regex.

However, this class does not sanitize the incoming regular expression, and as a result, exposes too much information from the log file to the user.

A non-malicious use of the searchSuggestions() method would be to enter "C" to match "Charles" and "Cecilia". However, a malicious user could enter

 ?:)(^.*,[0-9]+?,[0-9]+?$)|(?:

which grabs the entire log line rather than just the old keywords. The outer parentheses of the malicious search string defeat the grouping protection. Using the OR operator allows injection of any arbitrary regex. Now this use will reveal all times and IPs of past searches.

Compliant Solution

This compliant solution filters out non-alphanumeric characters from the search string using Java's Character.isLetterOrDigit(). This removes the grouping parentheses and the OR operator which triggers the injection.

import java.util.HashSet;
import java.util.Set;
import java.util.regex.Matcher;
import java.util.regex.Pattern;

public final class FilteredLog {
  private static final StringBuilder logBuffer = new StringBuilder();
  private static String log = logBuffer.toString();
    
  static {
    // this is supposed to come from a file, but its here as a string for
    // illustrative purposes
    append("Alice,1267773881,2147651408\n");
    append("Bono,1267774881,2147351708\n");
    append("Charles,1267775881,1175523058\n");
    append("Cecilia,1267773222,291232332\n");
  }
    
  private static void append(CharSequence str) {
    logBuffer.append(str);
    log = logBuffer.toString(); //update log string on append
  }

  public static Set<String> suggestSearches(String search) {
    Set<String> searches = new HashSet<String>();

    // Filter user input
    StringBuilder sb = new StringBuilder(search.length());
    for (int i = 0; i < search.length(); ++i) {
      char ch = search.charAt(i);
      if (Character.isLetterOrDigit(ch) ||
          ch == ' ' ||
          ch == '\'') {
        sb.append(ch);
      }
    }
    search = sb.toString();

    // Construct regex from user string
    String regex = "^(" + search + ".*),[0-9]+?,[0-9]+?$";
    int flags = Pattern.MULTILINE;
    Pattern keywordPattern = Pattern.compile(regex, flags);

    // Match regex
    Matcher logMatcher = keywordPattern.matcher(log);
    while (logMatcher.find()) {
      String found = logMatcher.group(1);
      searches.add(found);
    }

    return searches;
  }
}

Risk Assessment

Rule

Severity

Liklihood

Remediation Cost

Priority

Level

IDS18-J

medium

probable

high

P8

L2

Violating this guideline may result in sensitive information disclosure.

References

[[MITRE 09]] CWE ID 625 "Permissive Regular Expressions"
[[CVE 05]] CVE-2005-1949

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