Many applications use JSON Web Tokens (JWT) to allow the client to indicate its identity for further exchange after authentication.
From JWT.IO:
JSON Web Token (JWT) is an open standard (RFC 7519) that defines a compact and self-contained way for securely transmitting information between parties as a JSON object. This information can be verified and trusted because it is digitally signed. JWTs can be signed using a secret (with the HMAC algorithm) or a public/private key pair using RSA.
JSON Web Token is used to carry information related to the identity and characteristics (claims) of a client. This "container" is signed by the server in order to avoid that a client tamper it in order to change, for example, the identity or any characteristics (example: change the role from simple user to admin or change the client login).
This token is created during authentication (is provided in case of successful authentication) and is verified by the server before any processing. It is used by an application to allow a client to present a token representing his "identity card" (container with all information about him) to server and allow the server to verify the validity and integrity of the token in a secure way, all of this in a stateless and portable approach (portable in the way that client and server technologies can be different including also the transport channel even if HTTP is the most often used).
Token structure example taken from JWT.IO:
[Base64(HEADER)].[Base64(PAYLOAD)].[Base64(SIGNATURE)]
eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.
eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiYWRtaW4iOnRydWV9.
TJVA95OrM7E2cBab30RMHrHDcEfxjoYZgeFONFh7HgQ
Chunk 1: Header
{
"alg": "HS256",
"typ": "JWT"
}
Chunk 2: Payload
{
"sub": "1234567890",
"name": "John Doe",
"admin": true
}
Chunk 3: Signature
HMACSHA256( base64UrlEncode(header) + "." + base64UrlEncode(payload), KEY )
This cheatsheet provides tips to prevent common security issues when using JSON Web Tokens (JWT) with Java.
The tips presented in this article are part of a Java project that was created to show the correct way to handle creation and validation of JSON Web Tokens.
You can find the Java project here, it uses the official JWT library.
In the rest of the article, the term token refer to the JSON Web Tokens (JWT).
Even if a JWT token is "easy" to use and allow to expose services (mostly REST style) in a stateless way, it's not the solution that fits for all applications because it comes with some caveats, like for example the question of the storage of the token (tackled in this cheatsheet) and others...
If your application does not need to be fully stateless, you can consider using traditional session system provided by all web frameworks and follow the advice from the dedicated cheatsheet. However, for stateless applications, when well implemented, it's a good candidate.
This attack, described here occur when a attacker alter the token and change the hashing algorithm to indicate, through, the none keyword, that the integrity of the token has already been verified. As explained in the link above some libraries treated tokens signed with the none algorithm as a valid token with a verified signature, so an attacker can alter the token claims and tkey will be trusted by the application.
First, use a JWT library that is not exposed to this vulnerability.
Last, during token validation, explicitly request that the expected algorithm was used.
// HMAC key - Block serialization and storage as String in JVM memory
private transient byte[] keyHMAC = ...;
...
//Create a verification context for the token requesting
//explicitly the use of the HMAC-256 hashing algorithm
JWTVerifier verifier = JWT.require(Algorithm.HMAC256(keyHMAC)).build();
//Verify the token, if the verification fail then a exception is throwed
DecodedJWT decodedToken = verifier.verify(token);
This attack occur when a token has been intercepted/stolen by a attacker and this one use it to gain access to the system using targeted user identity.
A way to protect is to add "user context" in the token. User context will be composed by the following information:
- A random string that will be generated during the authentication phase and will be included into the token and also send to the client as an hardened cookie (flags: HttpOnly + Secure + SameSite + cookie prefixes).
- A SHA256 hash of the random string will be stored in the token (instead of the raw value) in order to prevent that any XSS issue allow the attacker to read the random string value and set the expected cookie.
IP address will not be used because there some situation in which IP address can change during the same session like for example when a user access an application through his mobile and he change of mobile operator during the exchange then he change legitimately (often) is IP address. Moreover, using IP address can potentially cause issue at European GDPR compliance level.
During token validation, if the received token do not contains the right context so, it is replayed and then it must be rejected.
Code to create the token after success authentication.
// HMAC key - Block serialization and storage as String in JVM memory
private transient byte[] keyHMAC = ...;
// Random data generator
private SecureRandom secureRandom = new SecureRandom();
...
//Generate a random string that will constitute the fingerprint for this user
byte[] randomFgp = new byte[50];
secureRandom.nextBytes(randomFgp);
String userFingerprint = DatatypeConverter.printHexBinary(randomFgp);
//Add the fingerprint in a hardened cookie - Add cookie manually because
//SameSite attribute is not supported by javax.servlet.http.Cookie class
String fingerprintCookie = "__Secure-Fgp=" + userFingerprint
+ "; SameSite=Strict; HttpOnly; Secure";
response.addHeader("Set-Cookie", fingerprintCookie);
//Compute a SHA256 hash of the fingerprint in order to store the
//fingerprint hash (instead of the raw value) in the token
//to prevent an XSS to be able to read the fingerprint and
//set the expected cookie itself
MessageDigest digest = MessageDigest.getInstance("SHA-256");
byte[] userFingerprintDigest = digest.digest(userFingerprint.getBytes("utf-8"));
String userFingerprintHash = DatatypeConverter.printHexBinary(userFingerprintDigest);
//Create the token with a validity of 15 minutes and client context (fingerprint) information
Calendar c = Calendar.getInstance();
Date now = c.getTime();
c.add(Calendar.MINUTE, 15);
Date expirationDate = c.getTime();
Map<String, Object> headerClaims = new HashMap<>();
headerClaims.put("typ", "JWT");
String token = JWT.create().withSubject(login)
.withExpiresAt(expirationDate)
.withIssuer(this.issuerID)
.withIssuedAt(now)
.withNotBefore(now)
.withClaim("userFingerprint", userFingerprintHash)
.withHeader(headerClaims)
.sign(Algorithm.HMAC256(this.keyHMAC));
Code to validate the token.
// HMAC key - Block serialization and storage as String in JVM memory
private transient byte[] keyHMAC = ...;
...
//Retrieve the user fingerprint from the dedicated cookie
String userFingerprint = null;
if (request.getCookies() != null && request.getCookies().length > 0) {
List<Cookie> cookies = Arrays.stream(request.getCookies()).collect(Collectors.toList());
Optional<Cookie> cookie = cookies.stream().filter(c -> "__Secure-Fgp"
.equals(c.getName())).findFirst();
if (cookie.isPresent()) {
userFingerprint = cookie.get().getValue();
}
}
//Compute a SHA256 hash of the received fingerprint in cookie in order to compare
//it to the fingerprint hash stored in the token
MessageDigest digest = MessageDigest.getInstance("SHA-256");
byte[] userFingerprintDigest = digest.digest(userFingerprint.getBytes("utf-8"));
String userFingerprintHash = DatatypeConverter.printHexBinary(userFingerprintDigest);
//Create a verification context for the token
JWTVerifier verifier = JWT.require(Algorithm.HMAC256(keyHMAC))
.withIssuer(issuerID)
.withClaim("userFingerprint", userFingerprintHash)
.build();
//Verify the token, if the verification fail then a exception is throwed
DecodedJWT decodedToken = verifier.verify(token);
This problem is inerrant to JWT token because a token become only invalid when it expires. The user has no built-in feature to explicitly revoke the validity of an token. So, in case of steal, a user cannot revoke the token itself and then block the attacker.
A way to protect is to implement a token blacklist that will be used to mimic the "logout" feature that exists with traditional session system.
The blacklist will keep a digest (SHA-256 encoded in HEX) of the token with a revokation date, this, for a duration that must be superior to the duration validity of a issued token.
When the user want to "logout" then it call a dedicated service that will add the provided user token to the blacklist resulting in a immediate invalidation of the token for further usage in the application.
A database table with the following structure will used as central blacklist storage.
create table if not exists revoked_token(jwt_token_digest varchar(255) primary key,
revokation_date timestamp default now());
Code in charge of adding a token to the blacklist and check if a token is revoked.
/**
* Handle the revokation of the token (logout).
* Use a DB in order to allow multiple instances to check for revoked token
* and allow cleanup at centralized DB level.
*/
public class TokenRevoker {
/** DB Connection */
@Resource("jdbc/storeDS")
private DataSource storeDS;
/**
* Verify if a digest encoded in HEX of the ciphered token is present
* in the revokation table
*
* @param jwtInHex Token encoded in HEX
* @return Presence flag
* @throws Exception If any issue occur during communication with DB
*/
public boolean isTokenRevoked(String jwtInHex) throws Exception {
boolean tokenIsPresent = false;
if (jwtInHex != null && !jwtInHex.trim().isEmpty()) {
//Decode the ciphered token
byte[] cipheredToken = DatatypeConverter.parseHexBinary(jwtInHex);
//Compute a SHA256 of the ciphered token
MessageDigest digest = MessageDigest.getInstance("SHA-256");
byte[] cipheredTokenDigest = digest.digest(cipheredToken);
String jwtTokenDigestInHex = DatatypeConverter.printHexBinary(cipheredTokenDigest);
//Search token digest in HEX in DB
try (Connection con = this.storeDS.getConnection()) {
String query = "select jwt_token_digest from revoked_token where jwt_token_digest = ?";
try (PreparedStatement pStatement = con.prepareStatement(query)) {
pStatement.setString(1, jwtTokenDigestInHex);
try (ResultSet rSet = pStatement.executeQuery()) {
tokenIsPresent = rSet.next();
}
}
}
}
return tokenIsPresent;
}
/**
* Add a digest encoded in HEX of the ciphered token to the revokation token table
*
* @param jwtInHex Token encoded in HEX
* @throws Exception If any issue occur during communication with DB
*/
public void revokeToken(String jwtInHex) throws Exception {
if (jwtInHex != null && !jwtInHex.trim().isEmpty()) {
//Decode the ciphered token
byte[] cipheredToken = DatatypeConverter.parseHexBinary(jwtInHex);
//Compute a SHA256 of the ciphered token
MessageDigest digest = MessageDigest.getInstance("SHA-256");
byte[] cipheredTokenDigest = digest.digest(cipheredToken);
String jwtTokenDigestInHex = DatatypeConverter.printHexBinary(cipheredTokenDigest);
//Check if the token digest in HEX is already in the DB and add it if it is absent
if (!this.isTokenRevoked(jwtInHex)) {
try (Connection con = this.storeDS.getConnection()) {
String query = "insert into revoked_token(jwt_token_digest) values(?)";
int insertedRecordCount;
try (PreparedStatement pStatement = con.prepareStatement(query)) {
pStatement.setString(1, jwtTokenDigestInHex);
insertedRecordCount = pStatement.executeUpdate();
}
if (insertedRecordCount != 1) {
throw new IllegalStateException("Number of inserted record is invalid," +
" 1 expected but is " + insertedRecordCount);
}
}
}
}
}
This attack occur when a attacker access to a token (or a set of tokens) and extract information stored into it (JWT token information are base64 encoded at the basis) in order to obtains information about the system. Information can be for example the security roles, login format...
A way to protect, is to cipher the token using for example a symetric algorithm.
It's also important to protect the ciphered data against attack like Padding Oracle or any other attack using cryptanalysis.
In order to achieve all these goals, the algorithm AES-GCM is used, this one provide Authenticated Encryption with Associated Data.
More details from here:
AEAD primitive (Authenticated Encryption with Associated Data) provides functionality of symmetric
authenticated encryption.
Implementations of this primitive are secure against adaptive chosen ciphertext attacks.
When encrypting a plaintext one can optionally provide associated data that should be authenticated
but not encrypted.
That is, the encryption with associated data ensures authenticity (ie. who the sender is) and
integrity (ie. data has not been tampered with) of that data, but not its secrecy.
See RFC5116: https://tools.ietf.org/html/rfc5116
Note:
Here ciphering is added mainly to hide internal information but it's very important to remember that the first protection against tampering of the JWT token is the signature so, the token signature and is verification must be always in place.
Code in charge of managing the ciphering. Google Tink dedicated crypto library is used to handle ciphering operations in order to use built-in best practices provided by this library.
/**
* Handle ciphering and deciphering of the token using AES-GCM.
*
* @see "https://github.com/google/tink/blob/master/docs/JAVA-HOWTO.md"
*/
public class TokenCipher {
/**
* Constructor - Register AEAD configuration
*
* @throws Exception If any issue occur during AEAD configuration registration
*/
public TokenCipher() throws Exception {
AeadConfig.register();
}
/**
* Cipher a JWT
*
* @param jwt Token to cipher
* @param keysetHandle Pointer to the keyset handle
* @return The ciphered version of the token encoded in HEX
* @throws Exception If any issue occur during token ciphering operation
*/
public String cipherToken(String jwt, KeysetHandle keysetHandle) throws Exception {
//Verify parameters
if (jwt == null || jwt.isEmpty() || keysetHandle == null) {
throw new IllegalArgumentException("Both parameters must be specified !");
}
//Get the primitive
Aead aead = AeadFactory.getPrimitive(keysetHandle);
//Cipher the token
byte[] cipheredToken = aead.encrypt(jwt.getBytes(), null);
return DatatypeConverter.printHexBinary(cipheredToken);
}
/**
* Decipher a JWT
*
* @param jwtInHex Token to decipher encoded in HEX
* @param keysetHandle Pointer to the keyset handle
* @return The token in clear text
* @throws Exception If any issue occur during token deciphering operation
*/
public String decipherToken(String jwtInHex, KeysetHandle keysetHandle) throws Exception {
//Verify parameters
if (jwtInHex == null || jwtInHex.isEmpty() || keysetHandle == null) {
throw new IllegalArgumentException("Both parameters must be specified !");
}
//Decode the ciphered token
byte[] cipheredToken = DatatypeConverter.parseHexBinary(jwtInHex);
//Get the primitive
Aead aead = AeadFactory.getPrimitive(keysetHandle);
//Decipher the token
byte[] decipheredToken = aead.decrypt(cipheredToken, null);
return new String(decipheredToken);
}
}
Use the token ciphering handler during the creation and the validation of the token.
Load keys (ciphering key was generated and stored using Google Tink) and setup cipher.
//Load keys from configuration text/json files in order to avoid to store keys as String in JVM memory
private transient byte[] keyHMAC = Files.readAllBytes(Paths.get("src", "main", "conf", "key-hmac.txt"));
private transient KeysetHandle keyCiphering = CleartextKeysetHandle.read(JsonKeysetReader.withFile(
Paths.get("src", "main", "conf", "key-ciphering.json").toFile()));
...
//Init token ciphering handler
TokenCipher tokenCipher = new TokenCipher();
Token creation.
//Generate the JWT token using the JWT API...
//Cipher the token (String JSON representation)
String cipheredToken = tokenCipher.cipherToken(token, this.keyCiphering);
//Send the ciphered token encoded in HEX to the client in HTTP response...
Token validation.
//Retrieve the ciphered token encoded in HEX from the HTTP request...
//Decipher the token
String token = tokenCipher.decipherToken(cipheredToken, this.keyCiphering);
//Verify the token using the JWT API...
//Verify access...
It's occur when a application store the token in a way allowing this one to be:
- Automatically sent by the browser (Cookie storage).
- Retrieved even if the browser is restarted (Use of browser localStorage container).
- Retrieved in case of XSS issue (Cookie accessible to JavaScript code or Token stored in browser local/session storage).
- Store the token using the browser sessionStorage container.
- Add it as a Bearer with JavaScript when calling services.
- Add fingerprint information to the token.
By storing the token in browser sessionStorage container it expose the token to be steal in case of XSS issue. However, fingerprint added to the token prevent reuse of the stolen token by the attacker on his machine. To close a maximum of exploitation surfaces for an attacker, add a browser Content Security Policy to harden the execution context.
Note:
- The remaining case is when a attacker use the user browsing context as a proxy to use the target application through the legitimate user but the Content Security Policy can prevent communication with non expected domains.
- It's also possible to implements the authentication service in a way that the token is issued within a hardened cookie, but in this case, a protection against Cross-Site Request Forgery attack must be implemented.
JavaScript code to store the token after authentication.
/* Handle request for JWT token and local storage*/
function getToken(){
var login = $("#login").val();
var postData = "login=" + encodeURIComponent(login) + "&password=test";
$.post("/services/authenticate", postData,function (data){
if(data.status == "Authentication successful !"){
...
sessionStorage.setItem("token", data.token);
}else{
...
sessionStorage.removeItem("token");
}
})
.fail(function(jqXHR, textStatus, error){
...
sessionStorage.removeItem("token");
});
}
JavaScript code to add the token as Bearer when calling a service, for example a service to validate token here.
/* Handle request for JWT token validation */
function validateToken(){
var token = sessionStorage.getItem("token");
if(token == undefined || token == ""){
$("#infoZone").removeClass();
$("#infoZone").addClass("alert alert-warning");
$("#infoZone").text("Obtain a JWT token first :)");
return;
}
$.ajax({
url: "/services/validate",
type: "POST",
beforeSend: function(xhr) {
xhr.setRequestHeader("Authorization", "bearer " + token);
},
success: function(data) {
...
},
error: function(jqXHR, textStatus, error) {
...
},
});
}
It's occur when the secret used in case of HMAC SHA256 algorithm used for the token signature is weak and can be bruteforced.
The result is the capacity for an attacker to forge arbitrary valid token from a signature point of view.
See here for an example.
Use a very strong secret: Alphanumeric (mixed case) + special characters.
As it's a computer processing only, the size of the secret can be superior to 50 positions.
Secret example:
A&'/}Z57M(2hNg=;LE?~]YtRMS5(yZ<vcZTA3N-($>2j:ZeX-BGftaVk`)jKP~q?,jk)EMbgt*kW'(
To evaluate the strength of the secret used for your token signature, you can apply a password dictionary attack on the token combined with the JWT API to facilitate the implementation of a breaker.
Password dictionaries can be found for example here.
Code in charge of testing a secret against a JWT token test base.
/**
* Test if a secret match the secret used to sign the token
*
* @param token Source JWT token (test base)
* @param secret Secret to test
* @return The token decoded if the secret matche otherwise return null
*/
private DecodedJWT checkSecret(String token, String secret) {
DecodedJWT t = null;
try {
Algorithm algorithm = Algorithm.HMAC256(secret);
JWTVerifier verifier = JWT.require(algorithm).build();
t = verifier.verify(token);
} catch (JWTVerificationException | UnsupportedEncodingException e) {
//ignore...
}
return t;
}
Code snippet to evaluate the token test base on the secret dictionary.
final String tokenTestBase = ...;
final String[] secret = new String[1];
final DecodedJWT[] decodedToken = new DecodedJWT[1];
List<String> secrets = Files.readAllLines(Paths.get("secrets-dictionary.txt"));
secrets.parallelStream().forEach(s -> {
DecodedJWT tentative = checkSecret(tokenTestBase, s);
if (tentative != null) {
secret[0] = s;
decodedToken[0] = tentative;
}
});
You can also use:
- JohnTheRipper to perform the password dictionary attack.
- Hashcat.
Jim Manico - jim.manico@owasp.org
Dominique Righetto - dominique.righetto@owasp.org
Paul Ionescu - paul.ionescu@owasp.org