CWE-917 Base Incomplete

Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection')

Expression Language Injection occurs when an application uses untrusted, external input to build an expression language statement—common in frameworks like Java Server Pages (JSP)—without properly…

Definition

What is CWE-917?

Expression Language Injection occurs when an application uses untrusted, external input to build an expression language statement—common in frameworks like Java Server Pages (JSP)—without properly sanitizing it. This allows an attacker to inject malicious expressions that alter the intended logic and execute arbitrary code when the statement is processed.
Frameworks like JSP allow developers to embed dynamic expressions directly into web pages. If these expression evaluation features are left enabled and user input flows into them without validation, attackers can craft inputs that break out of the intended data context. The injected expressions are then executed on the server, potentially leading to data exposure, system compromise, or other unexpected behavior. Preventing this requires disabling expression evaluation where it's not needed, rigorously validating and sanitizing all user inputs that touch expression contexts, and adopting a secure coding policy for the framework. Managing this at scale across a large codebase is difficult; an ASPM like Plexicus can help you track and remediate these flaws across your entire stack. While SAST tools catch the vulnerable pattern, Plexicus uses AI to suggest the actual code fix, saving hours of manual security work.
Real-world impact

Real-world CVEs caused by CWE-917

  • Product does not neutralize ${xyz} style expressions, allowing remote code execution. (log4shell vulnerability in log4j)

How attackers exploit it

Step-by-step attacker path

  1. 1

    Identify a code path that handles untrusted input without validation.

  2. 2

    Craft a payload that exercises the unsafe behavior — injection, traversal, overflow, or logic abuse.

  3. 3

    Deliver the payload through a normal request and observe the application's reaction.

  4. 4

    Iterate until the response leaks data, executes attacker code, or escalates privileges.

Vulnerable code example

Vulnerable pseudo

MITRE has not published a code example for this CWE. The pattern below is illustrative — see Resources for canonical references.

Vulnerable pseudo
// Example pattern — see MITRE for the canonical references.
function handleRequest(input) {
  // Untrusted input flows directly into the sensitive sink.
  return executeUnsafe(input);
}
Secure code example

Secure pseudo

Secure pseudo
// Validate, sanitize, or use a safe API before reaching the sink.
function handleRequest(input) {
  const safe = validateAndEscape(input);
  return executeWithGuards(safe);
}
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Prevention checklist

How to prevent CWE-917

  • Architecture and Design Avoid adding user-controlled data into an expression interpreter when possible.
  • Implementation If user-controlled data must be added to an expression interpreter, one or more of the following should be performed: - Validate that the user input will not evaluate as an expression - Encode the user input in a way that ensures it is not evaluated as an expression
  • System Configuration / Operation The framework or tooling might allow the developer to disable or deactivate the processing of EL expressions, such as setting the isELIgnored attribute for a JSP page to "true".
Detection signals

How to detect CWE-917

Automated Static Analysis High

Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)

CWE-917

Don't catalog this weakness. Prove it's reachable.

Plexicus turns CWE catalogs into evidence: every CWE-pattern is matched against your real code graph, reach is proven on a sandbox clone, and verified findings ship as reviewed PRs.

Frequently asked questions

Frequently asked questions

What is CWE-917?

Expression Language Injection occurs when an application uses untrusted, external input to build an expression language statement—common in frameworks like Java Server Pages (JSP)—without properly sanitizing it. This allows an attacker to inject malicious expressions that alter the intended logic and execute arbitrary code when the statement is processed.

How serious is CWE-917?

MITRE has not published a likelihood-of-exploit rating for this weakness. Treat it as medium-impact until your threat model proves otherwise.

What languages or platforms are affected by CWE-917?

MITRE lists the following affected platforms: Java.

How can I prevent CWE-917?

Avoid adding user-controlled data into an expression interpreter when possible. If user-controlled data must be added to an expression interpreter, one or more of the following should be performed: - Validate that the user input will not evaluate as an expression - Encode the user input in a way that ensures it is not evaluated as an expression

How does Plexicus detect and fix CWE-917?

Plexicus's SAST engine matches the data-flow signature for CWE-917 on every commit. When a match is found, our Codex Remedium agent opens a fix PR with the corrected code, tests, and a one-line summary for the reviewer.

Where can I learn more about CWE-917?

MITRE publishes the canonical definition at https://cwe.mitre.org/data/definitions/917.html. You can also reference OWASP and NIST documentation for adjacent guidance.

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SAMPLE HANDOVER · ILLUSTRATIVE

Sample evidence handover

A trimmed view of what your team receives at the end of an AI Swarm Pentest engagement. Real engagements include full technical evidence, executive narrative, and a remediation plan.

VALIDATED FINDING Evidence attached

Server-Side Request Forgery in webhooks/receiver

demo-project/sample-app · src/webhooks/receiver.py:42

SeverityHigh CVSS 3.18.6 Priority79 Confirmedvia replay

Untrusted caller-supplied URLs reach an internal egress without an allowlist. Replayed in a sandbox against a fresh authorised target — the same control was validated to fail twice.

REVIEWER-READY REMEDIATION Merge-ready PR

Validate the target URL against an allowlist of permitted hostnames. Reject private/internal IP ranges. Enforce HTTPS only.

plexicus/remediation/webhooks-ssrf 3 changed · 0 new files
42resp = requests.get(target_url)
42+if not is_allowed_host(target_url):
43+  raise WebhookRejected(target_url)
44+resp = requests.get(target_url, timeout=5)
Every engagement hands over:
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  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)