CWE-208 Base Incompleto

Observable Timing Discrepancy

This vulnerability occurs when an application takes measurably different amounts of time to perform different operations, such as checking a password or processing a request. An attacker can observe…

Definição

What is CWE-208?

This vulnerability occurs when an application takes measurably different amounts of time to perform different operations, such as checking a password or processing a request. An attacker can observe these timing differences to learn sensitive information, like whether a username is valid or a cryptographic key guess is correct.
Timing discrepancies act as a side channel, leaking information through the back door of performance. Even tiny, millisecond differences in response times can be statistically analyzed by an attacker to map out internal application logic, bypassing intended security controls. This is especially dangerous in authentication, authorization, and cryptographic functions where a 'fast fail' for an incorrect input can reveal its validity. To exploit this, attackers don't need direct access to error messages or data—they simply measure how long operations take. For example, a string comparison that stops at the first mismatched character will return faster for a wrong password starting with an incorrect letter than for one starting with the correct letter. Over many requests, this allows an attacker to gradually infer secrets, piece by piece, by observing which operations take longer to complete.
Impacto no mundo real

Real-world CVEs caused by CWE-208

  • Java-oriented framework compares HMAC signatures using String.equals() instead of a constant-time algorithm, causing timing discrepancies

  • Smartphone OS uses comparison functions that are not in constant time, allowing side channels

  • Password-checking function in router terminates validation of a password entry when it encounters the first incorrect character, which allows remote attackers to obtain passwords via a brute-force attack that relies on timing differences in responses to incorrect password guesses, aka a timing side-channel attack.

  • SSL implementation does not perform a MAC computation if an incorrect block cipher padding is used, which causes an information leak (timing discrepancy) that may make it easier to launch cryptographic attacks that rely on distinguishing between padding and MAC verification errors, possibly leading to extraction of the original plaintext, aka the "Vaudenay timing attack."

  • Virtual machine allows malicious web site operators to determine the existence of files on the client by measuring delays in the execution of the getSystemResource method.

  • Product uses a shorter timeout for a non-existent user than a valid user, which makes it easier for remote attackers to guess usernames and conduct brute force password guessing.

  • Product immediately sends an error message when a user does not exist, which allows remote attackers to determine valid usernames via a timing attack.

  • FTP server responds in a different amount of time when a given username exists, which allows remote attackers to identify valid usernames by timing the server response.

Como os atacantes a exploram

Trajeto do atacante passo a passo

  1. 1

    Consider an example hardware module that checks a user-provided password to grant access to a user. The user-provided password is compared against a golden value in a byte-by-byte manner.

  2. 2

    Since the code breaks on an incorrect entry of password, an attacker can guess the correct password for that byte-check iteration with few repeat attempts.

  3. 3

    To fix this weakness, either the comparison of the entire string should be done all at once, or the attacker is not given an indication whether pass or fail happened by allowing the comparison to run through all bits before the grant_access signal is set.

  4. 4

    In this example, the attacker observes how long an authentication takes when the user types in the correct password.

  5. 5

    When the attacker tries their own values, they can first try strings of various length. When they find a string of the right length, the computation will take a bit longer, because the for loop will run at least once. Additionally, with this code, the attacker can possibly learn one character of the password at a time, because when they guess the first character right, the computation will take longer than a wrong guesses. Such an attack can break even the most sophisticated password with a few hundred guesses.

Exemplo de código vulnerável

Vulnerable Verilog

Consider an example hardware module that checks a user-provided password to grant access to a user. The user-provided password is compared against a golden value in a byte-by-byte manner.

Vulnerável Verilog
always_comb @ (posedge clk)

 begin

```
   assign check_pass[3:0] = 4'b0;
   for (i = 0; i < 4; i++) begin
  	 if (entered_pass[(i*8 - 1) : i] eq golden_pass([i*8 - 1) : i])
  		 assign check_pass[i] = 1;
  		 continue;
  	 else
  		 assign check_pass[i] = 0;
  		 break;
  	 end
   assign grant_access = (check_pass == 4'b1111) ? 1'b1: 1'b0;
 end
Exemplo de código seguro

Secure Verilog

To fix this weakness, either the comparison of the entire string should be done all at once, or the attacker is not given an indication whether pass or fail happened by allowing the comparison to run through all bits before the grant_access signal is set.

Seguro Verilog
always_comb @ (posedge clk)
 begin

```
   assign check_pass[3:0] = 4'b0;
   for (i = 0; i < 4; i++) begin
  	 if (entered_pass[(i*8 - 1) : i] eq golden_pass([i*8 -1) : i])
  		 assign check_pass[i] = 1;
  		 continue;
  	 else
  		 assign check_pass[i] = 0;
  		 continue;
  	 end
   assign grant_access = (check_pass == 4'b1111) ? 1'b1: 1'b0;
 end
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Lista de verificação de prevenção

How to prevent CWE-208

  • Architecture Use safe-by-default frameworks and APIs that prevent the unsafe pattern from being expressible.
  • Implementation Validate input at trust boundaries; use allowlists, not denylists.
  • Implementation Apply the principle of least privilege to credentials, file paths, and runtime permissions.
  • Testing Cover this weakness in CI: SAST rules + targeted unit tests for the data flow.
  • Operation Monitor logs for the runtime signals listed in the next section.
Sinais de deteção

How to detect CWE-208

SAST High

Executar análise estática (SAST) na base de código à procura do padrão inseguro no fluxo de dados.

DAST Moderate

Executar testes dinâmicos de segurança de aplicações (DAST) contra o endpoint em execução.

Runtime Moderate

Monitorizar os registos em tempo de execução para traços de exceção invulgares, input malformado ou tentativas de contornar a autorização.

Code review Moderate

Revisão de código: sinalizar qualquer novo código que trate input desta superfície sem usar os ajudantes validados do framework.

Correção automática do Plexicus

O Plexicus deteta automaticamente o CWE-208 e abre um PR de correção em menos de 60 segundos.

O Codex Remedium analisa cada commit, identifica esta fraqueza exata e entrega um pull request pronto para revisão com o patch. Sem tickets. Sem transferências.

Perguntas frequentes

Frequently asked questions

O que é o CWE-208?

This vulnerability occurs when an application takes measurably different amounts of time to perform different operations, such as checking a password or processing a request. An attacker can observe these timing differences to learn sensitive information, like whether a username is valid or a cryptographic key guess is correct.

Qual a gravidade do CWE-208?

A MITRE não publicou uma classificação de probabilidade de exploração para esta fraqueza. Trate-a como impacto médio até o seu modelo de ameaças provar o contrário.

Que linguagens ou plataformas são afetadas pelo CWE-208?

A MITRE não especificou as plataformas afetadas por este CWE — pode aplicar-se à maioria das stacks de aplicações.

Como posso prevenir o CWE-208?

Use safe-by-default frameworks, validate untrusted input at trust boundaries, and apply the principle of least privilege. Cover the data-flow signature in CI with SAST.

Como é que o Plexicus deteta e corrige o CWE-208?

O motor SAST do Plexicus correlaciona a assinatura de fluxo de dados do CWE-208 em cada commit. Quando é encontrada uma correspondência, o nosso agente Codex Remedium abre um PR de correção com o código corrigido, testes e um resumo de uma linha para o revisor.

Onde posso saber mais sobre o CWE-208?

A MITRE publica a definição canónica em https://cwe.mitre.org/data/definitions/208.html. Pode também consultar a documentação da OWASP e do NIST para orientações adjacentes.

Fraquezas relacionadas

Weaknesses related to CWE-208

CWE-203 Pai

Observable Discrepancy

This vulnerability occurs when an application responds differently to unauthorized users based on internal conditions. Attackers can…

CWE-1300 Irmão

Improper Protection of Physical Side Channels

This vulnerability occurs when a hardware device lacks adequate safeguards against physical side-channel attacks. Attackers can exploit…

CWE-1303 Irmão

Non-Transparent Sharing of Microarchitectural Resources

This vulnerability occurs when a processor's internal performance features, like caches and branch predictors, are unintentionally shared…

CWE-204 Irmão

Observable Response Discrepancy

This vulnerability occurs when an application responds differently to similar requests, unintentionally leaking details about its internal…

CWE-205 Irmão

Observable Behavioral Discrepancy

This vulnerability occurs when an application behaves differently in ways that unauthorized users can detect. These observable differences…

CWE-385 Pode preceder

Covert Timing Channel

A covert timing channel is a security flaw where an attacker can deduce secret information by observing how long certain operations take…

CWE-327 Pode preceder

Use of a Broken or Risky Cryptographic Algorithm

The software relies on a cryptographic algorithm or protocol that is either fundamentally flawed or considered too weak by modern security…

CWE-1254 Filho

Incorrect Comparison Logic Granularity

This vulnerability occurs when a system compares sensitive data, like passwords or authentication tokens, piece-by-piece instead of as a…

Pronto quando você estiver

Pare de pagar por desenvolvedor.
Comece a fechar o ciclo.

O Plexicus é o ASPM nativo de IA que verifica, filtra, corrige, pentesta e explica — de forma autónoma. Programadores ilimitados, repos ilimitados, ações de IA de utilização justa. Nível gratuito real, €269/mo anual quando estiver pronto.