CVE-2017-10101

Vulnerability in the Java SE, Java SE Embedded component of Oracle Java SE (subcomponent: JAXP)

Verified by Precogs Threat Research
Last Updated: Apr 20, 2025
Base Score
9.6CRITICAL

Executive Summary

CVE-2017-10101 is a critical severity vulnerability affecting appsec. It is classified as an undisclosed flaw. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Oracle Java SE (JAXP subcomponent) contains a vulnerability allowing unauthorized data disclosure or DoS via malformed XML processing. Attackers exploit insecure default configurations in the XML parser. Precogs API Security Engine identifies unconstrained resource allocation during parsing."

Exploit Probability (EPSS)
Low (0.3%)
Public POC
Available
Exploit Probability
High (84%)
Public POC
Available
Affected Assets
appsecNVD Database

What is this vulnerability?

CVE-2017-10101 is categorized as a critical security flaw with a CVSS base score of 9.6. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

Vulnerability in the Java SE, Java SE Embedded component of Oracle Java SE (subcomponent: JAXP). Supported versions that are affected are Java SE: 6u151, 7u141 and 8u131; Java SE Embedded: 8u131. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Java SE, Java SE Embedded. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Java SE, Java SE Embedded, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in takeover of Java SE, Java SE Embedded. Note: This vulnerability applies to Java deployments, typically in clients running sandboxed Java Web Start applications or sandboxed Java applets, that load and run untrusted code (e.g., code that comes from the internet) and rely on the Java sandbox for security. This vulnerability does not apply to Java deployments, typically in servers, that load and run only trusted code (e.g., code installed by an administrator). CVSS 3.0 Base Score 9.6 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H).

This architectural defect enables adversaries to bypass intended security controls, directly manipulating the application's execution state or data layer. Immediate strategic intervention is required.

Risk Assessment

MetricValue
CVSS Base Score9.6 (CRITICAL)
Vector StringCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
PublishedAugust 8, 2017
Last ModifiedApril 20, 2025
Related CWEsN/A

Impact on Systems

Data Exfiltration: Attackers can extract sensitive data from backend databases, configuration files, or internal services.

Authentication Bypass: Exploiting this flaw may allow unauthorized access to protected resources and administrative interfaces.

Lateral Movement: Once initial access is gained, attackers can pivot to internal systems and escalate privileges.

How to Fix and Mitigate CVE-2017-10101

  1. Apply Vendor Patches: Upgrade affected components to their latest, non-vulnerable versions immediately.
  2. Implement Input Validation: Ensure all user-supplied data is validated, sanitized, and type-checked before processing.
  3. Deploy Runtime Protection: Use Precogs continuous monitoring to detect exploitation attempts in real time.
  4. Audit Dependencies: Review and update all third-party libraries and transitive dependencies.

Defending with Precogs AI

Oracle Java SE (JAXP subcomponent) contains a vulnerability allowing unauthorized data disclosure or DoS via malformed XML processing. Attackers exploit insecure default configurations in the XML parser. Precogs API Security Engine identifies unconstrained resource allocation during parsing.

Use Precogs to continuously scan your codebase, binaries, APIs, and infrastructure for this vulnerability class and related attack patterns. Our AI-powered detection engine combines static analysis with threat intelligence to identify exploitable weaknesses before attackers do.

Start scanning with Precogs →

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceUntrusted User Input
VectorInput flows through the application logic without sanitization
SinkExecution or Rendering Sink
ImpactApplication compromise, Logic Bypass, Data Exfiltration

Vulnerable Code Pattern

# ❌ VULNERABLE: Unsanitized Input Flow
def process_request(request):
    user_input = request.GET.get('data')
    # Taint sink: processing untrusted data
    execute_logic(user_input)
    return {"status": "success"}

Secure Code Pattern

# ✅ SECURE: Input Validation & Sanitization
def process_request(request):
    user_input = request.GET.get('data')
    
    # Sanitized boundary check
    if not is_valid_format(user_input):
        raise ValueError("Invalid input format")
        
    sanitized_data = sanitize(user_input)
    execute_logic(sanitized_data)
    return {"status": "success"}

How Precogs Detects This

Precogs AI Analysis Engine maps untrusted input directly to execution sinks to catch complex application security vulnerabilities.\n

Is your system affected?

Precogs AI detects CVE-2017-10101 in compiled binaries, LLMs, and application layers — even without source code access.