CyberSecBulletin
CVE-2025-52479NVD status: Deferred

HTTP.jl: Improper Neutralization of CRLF Sequences

Published Updated By the CyberSecBulletin desk

CVE-2025-52479 is a high-severity improper neutralization of CRLF sequences vulnerability in HTTP.jl from JuliaWeb, with a CVSS 4.0 base score of 7.7 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, without any action from a user. Affected HTTP.jl versions: < 1.10.17. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.43% chance of exploitation within 30 days, which is low compared with other CVEs.

Next patch cycle

High severity with no evidence of exploitation so far.

What to do

  1. Check which version of HTTP.jl you run against the affected versions below, and install the vendor's latest release.
  2. Read the advisory on github.com for workarounds and exact fixed builds.
  3. Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.

Affected products and versions

VendorProductAffected versionsFixed in
JuliaWebHTTP.jl< 1.10.17Not stated

Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
LowNo special conditions are needed; the attack works reliably.
Attack requirements
NoneThe attack does not depend on a particular deployment or configuration.
Privileges required
NoneNo account or login is needed.
User interaction
NoneNo action by a victim is required.
Confidentiality (vulnerable system)
NoneNo loss of confidentiality on the vulnerable system.
Integrity (vulnerable system)
HighSerious loss of integrity on the vulnerable system.
Availability (vulnerable system)
NoneNo loss of availability on the vulnerable system.
Confidentiality (other systems)
NoneNo loss of confidentiality on systems beyond the vulnerable one.
Integrity (other systems)
NoneNo loss of integrity on systems beyond the vulnerable one.
Availability (other systems)
NoneNo loss of availability on systems beyond the vulnerable one.

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X. Scored by CNA (github.com).

Official description

HTTP.jl provides HTTP client and server functionality for Julia, and URIs.jl parses and works with Uniform Resource Identifiers (URIs). URIs.jl prior to version 1.6.0 and HTTP.jl prior to version 1.10.17 allows the construction of URIs containing CR/LF characters. If user input was not otherwise escaped or protected, this can lead to a CRLF injection attack. Users of HTTP.jl should upgrade immediately to HTTP.jl v1.10.17, and users of URIs.jl should upgrade immediately to URIs.jl v1.6.0. The check for valid URIs is now in the URI.jl package, and the latest version of HTTP.jl incorporates that fix. As a workaround, manually validate any URIs before passing them on to functions in this package.

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Improper Neutralization of CRLF Sequences

The product uses CRLF (carriage return line feeds) as a special element, e.g. to separate lines or records, but it does not neutralize or incorrectly neutralizes CRLF sequences from inputs.

How developers prevent this class of flaw

  • Appropriately filter or quote CRLF sequences in user-controlled input.

More Improper Neutralization of CRLF Sequences vulnerabilities (CWE-93)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: poc, automatable: no, technical impact: partial).
  3. Record last changed materially (score, affected products, status or references).

References

Other vulnerabilities in HTTP.jl

All HTTP.jl vulnerabilities

Recent Improper Neutralization of CRLF Sequences vulnerabilities

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