CVE-2026-27953

ormar is a async mini ORM for Python.

Verified by Precogs Threat Research
Last Updated: Mar 20, 2026
Base Score
7.1HIGH

Executive Summary

CVE-2026-27953 is a high severity vulnerability affecting ai-code, binary-analysis. It is classified as CWE-20. Ensure your systems and dependencies are patched immediately to mitigate exposure risks.

Precogs AI Insight

"Architecturally, this flaw occurs due to within Ormar, allowing the improper handling of untrusted input. A threat actor could leverage this oversight to silently exfiltrate sensitive routing topologies and internal schemas. The Precogs detection suite automatically flags these architectural defects to alert security teams to imminent boundary violations."

Exploit Probability (EPSS)
Low (0.4%)
Public POC
Undisclosed
Exploit Probability
Elevated (52%)
Public POC
Available
Affected Assets
ai codebinary analysisCWE-20

What is this vulnerability?

CVE-2026-27953 is categorized as a critical Improper Input Validation flaw. Based on our vulnerability intelligence, this issue occurs when the application fails to securely handle untrusted data boundaries.

ormar is a async mini ORM for Python. Versions 0.23.0 and below are vulnerable to Pydantic validation bypass through the model constructor, allowing any un...

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 Score7.1 (HIGH)
Vector StringCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L
PublishedMarch 19, 2026
Last ModifiedMarch 20, 2026
Related CWEsCWE-20, CWE-915

Impact on Systems

Chained Exploitation: Serves as the root cause enabling XSS, SQLi, and Command Injection attacks down the execution chain.

Business Logic Bypass: Manipulating unexpected inputs (e.g., negative integers for price amounts) subverts core business logic.

Denial of Service: Sending massively oversized or recursively complex inputs can exhaust CPU/Memory parsing limits.

How to fix this issue?

Implement the following strategic mitigations immediately to eliminate the attack surface.

1. Strict Allow-listing Define rigid, regex-based allow-lists for all input vectors, rejecting any data that does not conform to the expected length, type, and format.

2. Type Juggling Prevention Utilize strong static typing and strictly compare variable types before processing data structures.

3. API Gateway Defenses Deploy Web Application Firewalls (WAF) and central API Gateways to strip malformed payloads before they reach internal services.

Vulnerability Signature

// Improper Validation resulting in unexpected logic execution
function process_order(quantity) \{
    // VULNERABLE: No check if quantity is positive or an integer
    let total_price = quantity * 100.00;
    user_balance -= total_price; // Negative quantity INCREASES balance
\}

References and Sources

Vulnerability Code Signature

Attack Data Flow

StageDetail
SourceNetwork packet or file input
VectorData exceeds the allocated buffer bounds during a copy operation
Sinkstrcpy(), memcpy(), or pointer arithmetic
ImpactMemory corruption, Remote Code Execution (RCE)

Vulnerable Code Pattern

// ❌ VULNERABLE: Memory Corruption
void process_data(char *input) {
    char buffer[128];
    // Taint sink: copies without bounds checking
    strcpy(buffer, input);
}

Secure Code Pattern

// ✅ SECURE: Bounded Memory Operations
void process_data(char *input) {
    char buffer[128];
    // Sanitized boundary check
    strncpy(buffer, input, sizeof(buffer) - 1);
    buffer[sizeof(buffer) - 1] = '\0';
}

How Precogs Detects This

Precogs Binary SAST engine explicitly uncovers memory boundary violations and unsafe memory management functions in compiled binaries.\n

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Is your system affected?

Precogs AI detects CVE-2026-27953 in compiled binaries, LLMs, and application layers — even without source code access.