CWE-140: Improper Neutralization of Delimiters
The product does not neutralize or incorrectly neutralizes delimiters.
Last updated
Overview
CWE-140 (Improper Neutralization of Delimiters) is a base-level software weakness catalogued by MITRE in the Common Weakness Enumeration (CWE). It describes a recurring type of mistake that can lead to exploitable security vulnerabilities.
Real-world CVEs
18 recorded CVEs are caused by CWE-140 (Improper Neutralization of Delimiters). The highest-severity and most recent are shown first. 4 new CWE-140 CVEs have been recorded so far in 2026 (6 in 2025).
- CVE-2023-6157High · CVSS 8.8 · EPSS 54th2023-11-22
- CVE-2023-6156High · CVSS 8.8 · EPSS 54th2023-11-22
- CVE-2023-38488High · CVSS 8.8 · EPSS 52th2023-07-27
- CVE-2023-31208High · CVSS 8.8 · EPSS 58th2023-05-17
- CVE-2025-47779
Using malformed From header can forge identity with ";" or NULL in name portion
High · CVSS 7.7 · EPSS 36th2025-05-22 - CVE-2024-42392High · CVSS 7.5 · EPSS 12th2024-11-18
- CVE-2024-42385High · CVSS 7.0 · EPSS 1th2024-11-18
- CVE-2025-52989
Junos OS and Junos OS Evolved: Annotate configuration command can be used to change the configuration
Medium · CVSS 6.8 · EPSS 2th2025-07-11 - CVE-2026-21691
iccDEV has Type Confusion in CIccTag:IsTypeCompressed()
Medium · CVSS 6.5 · EPSS 15th2026-01-07 - CVE-2025-48879
OctoPrint Vulnerable to Denial of Service through malformed HTTP request
Medium · CVSS 6.5 · EPSS 13th2025-06-10 - CVE-2024-42482Medium · CVSS 6.5 · EPSS 53th2024-08-12
- CVE-2024-6542
Livestatus injection in mknotifyd
Medium · CVSS 6.5 · EPSS 38th2024-07-22
Showing 12 of 18 recorded CWE-140 CVEs. Track new ones as they are published and get AI-written analysis and fixes.
Monitor CWE-140 vulnerabilitiesCommon consequences
What can happen when CWE-140 is exploited.
Unexpected State
Affects: Integrity
How it happens
When it is introduced
Typically introduced during these phases of the software lifecycle.
How to prevent it
Practical mitigations for CWE-140, grouped by where in the lifecycle they apply.
Developers should anticipate that delimiters will be injected/removed/manipulated in the input vectors of their product. Use an appropriate combination of denylists and allowlists to ensure only valid, expected and appropriate input is processed by the system.
Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
While it is risky to use dynamically-generated query strings, code, or commands that mix control and data together, sometimes it may be unavoidable. Properly quote arguments and escape any special characters within those arguments. The most conservative approach is to escape or filter all characters that do not pass an extremely strict allowlist (such as everything that is not alphanumeric or white space). If some special characters are still needed, such as white space, wrap each argument in quotes after the escaping/filtering step. Be careful of argument injection (CWE-88).
Inputs should be decoded and canonicalized to the application's current internal representation before being validated (CWE-180). Make sure that the application does not decode the same input twice (CWE-174). Such errors could be used to bypass allowlist validation schemes by introducing dangerous inputs after they have been checked.
Illustrative examples
Real CVEs that MITRE cites as examples of this weakness.
- CVE-2003-0307 — Attacker inserts field separator into input to specify admin privileges.
- CVE-2000-0293 — Multiple internal space, insufficient quoting - program does not use proper delimiter between values.
- CVE-2001-0527 — Attacker inserts carriage returns and "|" field separator characters to add new user/privileges.
- CVE-2002-0267 — Linebreak in field of PHP script allows admin privileges when written to data file.
Terminology & mappings
Mapped taxonomies
- PLOVER: Delimiter Problems
- Software Fault Patterns: Tainted input to command (SFP24)
Attack patterns
CAPEC attack patterns that exploit this weakness.
Frequently asked questions
Common questions about CWE-140.
- What is CWE-140?
- The product does not neutralize or incorrectly neutralizes delimiters.
- What CVEs are caused by CWE-140?
- 18 recorded CVEs are attributed to CWE-140, including CVE-2023-6157, CVE-2023-6156, CVE-2023-38488.
- How do you prevent CWE-140?
- Developers should anticipate that delimiters will be injected/removed/manipulated in the input vectors of their product. Use an appropriate combination of denylists and allowlists to ensure only valid, expected and appropriate input is processed by the system.
- What are the consequences of CWE-140?
- Exploiting CWE-140 can lead to: Unexpected State.
- Is CWE-140 actively exploited?
- 18 recorded CVEs are caused by CWE-140; none are currently in CISA's KEV catalog of actively exploited flaws.
References
- MITRE CWE definition (CWE-140) (opens in a new tab)
- CWE-140 vulnerabilities on NVD (opens in a new tab)
- Learn: What is a CWE?
Weakness data is sourced from the MITRE CWE catalog (v4.20). CVE associations are aggregated and kept current by RadicalNotion.AI.
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