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Graph/hashing-misuse-for-integrity-auth

AntiPattern

Incorrect Hashing for Integrity

hashing-misuse-for-integrity-auth

Message integrity and authentication fail when hashing/signing is misapplied—e.g., signing or verifying the wrong representation (digest vs raw), using mismatched MD5/“bad digest”, or relying on weak/static password hashing—letting spoofing or brute-force bypass occur.

Node Details

Public graph metadata

Updated7/27/2026

Connections

30 linked nodes

MATCHESSolution

passing health checks but its Bash cutover and post-cutover verification scripts exited early or misreported failure — Bash cutover and post-cutover verification scripts. Tension: post-increment arithmetic such as `((elapsed++))` / `((PASS_COUNT++))`, brittle command-output parsing for npm preflight status, and exact JSON-shape assumptions for RPC verification.

MATCHESSolution

You can use `passlib.hash`'s `django_pbkdf2_sha256` — which is a specific handler that matches Django's configuration for password hashing using `pbkdf2_sha256`. Tension: the checksum's size. Outcome: if not user or not django_pbkdf2_sha256.verify(password, user.password):.

MATCHESSolution

var md5Based64 = Convert.ToBase64Str — Upload using RestSharp: (failed - Bad Digest). Tension: BadDigest - The Content-MD5 you specified did not match what we received. Outcome: both have the same inputs.

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you should use the same secret in both places — if you're doing symmetric keys (default in fastendpoints). Tension: signing tokens with one secret and trying to validate incoming tokens with a different secret. Outcome: assymmetric keys is another story which i don't think you need to worry about just yet.

MATCHESSolution

requires a valid account, SSL with certificate pinning — to protect your own server API calls. Outcome: This increases the difficulty for an attacker to get the keys.

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Use blind indexing: store an additional column containing a salted secure hash of the plaintext (hash computed at insert via trigger or in application) and query by hashing the input and comparing against the hash column for exact matches. For more complex pattern searches (LIKE/substring), use specialized encrypted-search approaches/third-party solutions since they require advanced indexing structures beyond basic hashing.

MATCHESSolution

Take the inputted password, throw it in a loop that adds adds an extra character at the end, beginning, wherever, and then match it against the stored hash. — You would need to kind of brute force it, I think. Tension: how do systems enforce the not being similar test without having to store the passwords in plain text in the database?

MATCHESSolution

you should use the J9 JVM — If you are really that paranoid that this may not happen. Tension: it will not dump the values to a regular heap dump. Outcome: hash the passwords immediately after getting them and do all the further steps only with the hashes.

MATCHESSolution

Stored using a one-way function, Argon2id with the recommended parameters is fine. Tension: If hashing is recommended, what algorithms are best suited for this purpose? Outcome: Argon2id with the recommended parameters is fine, but bcrypt and salted SHA2-256 are popular choices.

MATCHESSolution

Implement server-side validation to ensure that the received token is valid and not compromised

MATCHESSolution

Use Hash-Based Message Authentication Code or any cryptographic library or built-in .NET classes

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You cannot directly “forge” or mutate props from outside React; enforce integrity by keeping sensitive logic/validation on the server, using proper state management, and treating any user-provided data as untrusted with validation.

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This is intended to provide protection against a denial-of-service caused by carefully chosen inputs — `__hash__()` values of str and bytes objects are “salted” with an unpredictable random value. Tension: carefully chosen inputs that exploit the worst case performance of a dict insertion, `O(n2)` complexity. Outcome: security benefits of the change won out over the performance impact for strings and `bytes` objects.

MATCHESSolution

PKCE is verified on the authorization server — even if the clients does not properly (or fail to) verify the state/nonce. Tension: PKCE will still protect them. Outcome: PKCE will still protect them.

MATCHESSolution

pass `False` if you're not using the algorithm for security purposes. — False indicates that the hashing algorithm is not used in a security context. Tension: Insecure algorithms are enabled by default. Outcome: Python will tell OpenSSL to allow insecure algorithms anyway.

MATCHESSolution

A way to do this (which is used in the wild) is described at — I have a JWKS which exposes my public keyset. Tension: I want to ensure that the keys are not modified in-transit through some man-in-the-middle. Outcome: which would allow clients to verify the jwt's authenticity, and if it's authentic, they could then accept the supplied keys.

MATCHESSolution

Use opaque, signed, time-limited tokens instead of plain email in links, and revalidate any client-provided value on the server

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JWT implementations hash the header.payload bytes with SHA-256 to produce a fixed-length digest, then sign that digest; this keeps signatures smaller and makes signing/verifying efficient while preserving integrity.

MATCHESSolution

Your hardware token idea is the only thing you've listed that is plausible — assuming the token's hardware has its own clock and is hardened against tampering. Tension: There is no way to trust hardware that someone else controls. Outcome: This is just a computer that you trust because the user does not control it.

MATCHESSolution

From the moment you use HTTPS the communication between your mobile app and server is private — make private the communication between my mobile application and my server. Tension: someone can intercepts http calls and copy the static token. Outcome: unless a MitM attack is being carried out successfully by an attacker.

MATCHESSolution

One can try with "RSA_PKCS1_SHA256,RSA_PKCS1_SHA384,RSA_PKCS1_SHA512" convention. — for my java code. Tension: Tried setting `jdk.tls.client.SignatureSchemes="RSAWITHSHA256,RSAWITHSHA384,RSAWITHSHA512"` as system property and at runtime, it didnt work for me. Outcome: One can try with "RSA_PKCS1_SHA256,RSA_PKCS1_SHA384,RSA_PKCS1_SHA512" convention.

MATCHESSolution

Use a password-hashing algorithm designed for authentication (e.g., bcrypt, scrypt, or Argon2) and generate a unique random salt per password, storing the salt (or the full hash parameters) with the user record. Optionally add a secret pepper stored outside the codebase/DB, and verify passwords using the library’s verification function.

MATCHESSolution

protecting the individual endpoints properly. Tension: data from the frontend can and shouldn't be trusted from a security perspective. Outcome: you're already taking the proper countermeasures.

MATCHESSolution

You can use a single SSH key for both authentication and data signing because both are digital signatures and OpenSSH uses domain separation to prevent confusion. Use separate keys when you need longer-term signing keys (e.g., less frequent rotation) or when signing keys are stored on stronger hardware like a YubiKey while authentication keys are not, and ensure signing keys are protected for long-term verification.

MATCHESSolution

implement something like Attestations Service — based on App/Device integrity or reputation verification.

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Use content hashes for chunk filenames to help invalidate changed assets

MATCHESSolution

you need to hash the prepared PDF (with signature dictionary containing the placeholder) — If you want any decent PDF signature validator to positively validate your signature. Tension: not something else. Outcome: validators expect that the signed byte ranges encompass exactly everything except the placeholder itself.

MATCHESSolution

Fix verify_token() to derive payload_bytes using bytes.fromhex(payload_hex) so the HMAC-SHA256 signature verification uses the exact same payload bytes that were originally signed in create_token().

MATCHESSolution

In server-to-server callers of signUpEmail, do an explicit pre-flight email + username uniqueness check against the `user` table before invoking signUpEmail — server-to-server callers of signUpEmail. Tension: Bypassing the enumeration mitigation is correct on internal-secret-gated routes because there is no untrusted caller to defend against. Outcome: return a clean 409 on collision. Add a belt-and-braces post-call check: SELECT user.id WHERE id = result.user.id — if the row doesn't exist, refuse to use the id.

MATCHESSolution

the `verifyHmac` function was imported but never called — While refactoring an HTTP server. Tension: This indicates a leftover artifact from previous development, which can lead to confusion and potential maintenance issues. Outcome: The correct approach is to remove the import and any associated references to ensure the codebase remains lean and maintainable.

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