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Moderate 66 Cryptographic libraries

http: share deterministic header field parser

Public commit record

What the developer wrote

Authored by selsta

45/100 · Thin
http: share deterministic header field parser
✓ Descriptive subject✓ Names a concrete action or component! No meaningful explanatory body
The short version

What changed, and why it matters

This commit replaces a complex regular-expression-based HTTP header parser with a single, stricter, hand-written parser shared between the client and server code. The old parser could silently accept malformed or ambiguous headers, which in HTTP can lead to security problems such as request smuggling, cache poisoning, or unexpected behavior. The new parser rejects headers that do not follow a well-defined format and validates the characters allowed in header names. It also adds many tests that demonstrate malformed headers are now rejected. The commit itself does not describe this as a security fix, but the change clearly reduces attack surface in the way Monero's HTTP stack processes incoming and outgoing headers.

Recommended action

Treat this as a hardening change with potential security relevance. Review whether the stricter parser breaks any legitimate clients or proxies used with Monero RPC/wallet services. Monitor for follow-up commits that may reference a CVE or security advisory, and consider backporting to maintained release branches because the old parser's leniety could have enabled HTTP request smuggling or header injection against the Monero daemon/wallet RPC.

Security signals we found

01

Replaced regex-based HTTP header parsing with a strict, deterministic parser

02

Shared parser enforces RFC 7230 token characters for header names

03

Malformed headers now cause parsing to fail instead of being silently accepted

04

Client transitions to reciev_machine_state_error on header parse failure

05

Server returns false on malformed header lines

06

Added unit tests for malformed header rejection in both client and server paths

Risk score

Why this scored 66/100

Our methodology →
Potential impact 18/30
Exploitability 15/25
Stealth signal 10/15
Affected reach 12/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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