CWE-780 Variant Incomplete Medium likelihood

Use of RSA Algorithm without OAEP

This vulnerability occurs when an application implements RSA encryption but fails to use Optimal Asymmetric Encryption Padding (OAEP), significantly weakening the cryptographic protection.

Definition

What is CWE-780?

This vulnerability occurs when an application implements RSA encryption but fails to use Optimal Asymmetric Encryption Padding (OAEP), significantly weakening the cryptographic protection.
RSA encryption on its own has mathematical properties that make raw, unpadded messages vulnerable to analysis. Attackers can exploit these patterns to decrypt data without the private key. OAEP adds a layer of random padding before encryption, making every output unique and unpredictable, which is essential for secure RSA implementation in practice. Without OAEP, encrypted data is far easier to compromise, especially in scenarios involving repeated or predictable messages. While SAST tools can detect this insecure pattern, managing this at scale is difficult; an ASPM like Plexicus can help you track and remediate these flaws across your entire stack, using AI to suggest the specific code fixes needed to implement OAEP correctly.
Auswirkungen in der Praxis

Real-world CVEs caused by CWE-780

Bisher sind in MITREs Katalog keine öffentlichen CVE-Referenzen mit dieser CWE verknüpft.

Wie Angreifer es ausnutzen

Angreiferpfad Schritt für Schritt

  1. 1

    Identifiziere einen Codepfad, der nicht vertrauenswürdige Eingaben ohne Validierung verarbeitet.

  2. 2

    Erzeuge eine Payload, die das unsichere Verhalten auslöst — Injection, Traversal, Overflow oder Logik-Missbrauch.

  3. 3

    Liefere die Payload über einen normalen Request aus und beobachte die Reaktion der Anwendung.

  4. 4

    Iteriere, bis die Antwort Daten preisgibt, Angreifer-Code ausführt oder Berechtigungen eskaliert.

Verwundbares Codebeispiel

Vulnerable Java

The example below attempts to build an RSA cipher.

Verwundbar Java
public Cipher getRSACipher() {
  	Cipher rsa = null;
  	try {
  		rsa = javax.crypto.Cipher.getInstance("RSA/NONE/NoPadding");
  	}
  	catch (java.security.NoSuchAlgorithmException e) {
  		log("this should never happen", e);
  	}
  	catch (javax.crypto.NoSuchPaddingException e) {
  		log("this should never happen", e);
  	}
  	return rsa;
  }
Sicheres Codebeispiel

Secure Java

While the previous code successfully creates an RSA cipher, the cipher does not use padding. The following code creates an RSA cipher using OAEP.

Sicher Java
public Cipher getRSACipher() {
  	Cipher rsa = null;
  	try {
  		rsa = javax.crypto.Cipher.getInstance("RSA/ECB/OAEPWithMD5AndMGF1Padding");
  	}
  	catch (java.security.NoSuchAlgorithmException e) {
  		log("this should never happen", e);
  	}
  	catch (javax.crypto.NoSuchPaddingException e) {
  		log("this should never happen", e);
  	}
  	return rsa;
  }
What changed: the unsafe sink is replaced (or the input is validated/escaped) so the same payload no longer triggers the weakness.
Präventions-Checkliste

How to prevent CWE-780

  • Architecture Use safe-by-default frameworks and APIs that prevent the unsafe pattern from being expressible.
  • Implementation Validate input at trust boundaries; use allowlists, not denylists.
  • Implementation Apply the principle of least privilege to credentials, file paths, and runtime permissions.
  • Testing Cover this weakness in CI: SAST rules + targeted unit tests for the data flow.
  • Operation Monitor logs for the runtime signals listed in the next section.
Erkennungssignale

How to detect CWE-780

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-780

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.

Häufig gestellte Fragen

Frequently asked questions

Was ist CWE-780?

This vulnerability occurs when an application implements RSA encryption but fails to use Optimal Asymmetric Encryption Padding (OAEP), significantly weakening the cryptographic protection.

Wie gravierend ist CWE-780?

MITRE stuft die Exploit-Wahrscheinlichkeit als mittel ein — eine Ausnutzung ist realistisch, erfordert aber meist bestimmte Bedingungen.

Welche Sprachen oder Plattformen sind von CWE-780 betroffen?

MITRE hat für diese CWE keine betroffenen Plattformen spezifiziert — sie kann in den meisten Anwendungs-Stacks auftreten.

Wie kann ich CWE-780 verhindern?

Use safe-by-default frameworks, validate untrusted input at trust boundaries, and apply the principle of least privilege. Cover the data-flow signature in CI with SAST.

Wie erkennt und behebt Plexicus CWE-780?

Die SAST-Engine von Plexicus erkennt die Datenfluss-Signatur von CWE-780 bei jedem Commit. Bei einem Treffer öffnet unser Codex-Remedium-Agent einen Fix-PR mit korrigiertem Code, Tests und einer einzeiligen Zusammenfassung für den Reviewer.

Wo erfahre ich mehr über CWE-780?

MITRE veröffentlicht die kanonische Definition unter https://cwe.mitre.org/data/definitions/780.html. Für ergänzende Hinweise kannst du auch die OWASP- und NIST-Dokumentation heranziehen.

Bereit, das Wesentliche zu validieren?

Bereit zu validieren, was zählt.

Plexicus ist Proof-Driven AppSec: validierte Funde, kontextuelles Verständnis und geprüfte Remediation — in Evidenz verankert, mit Ihnen gescoped.

Qualifizierung

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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 authorized 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:
  • Executive briefing
  • Validated findings list
  • Merge-ready PRs
  • Compliance mapping (NIS2 · DORA · CRA)
Private Runde Für Investoren