Cyber Resilience

CVE-2026-9270

Binary Datadog\ \

Published
05 June 2026
Modified
17 June 2026
CVSS Score v3.1 9.1
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
EPSS Score 0.0033 26th percentile
Risk Priority 66 floored blend · peak EPSS

Summary

CVE-2026-9270 is a critical-severity CRLF Injection (CWE-93) vulnerability in Binary Datadog\. Its CVSS base score is 9.1 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked at the 26th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

DataDog::DogStatsd versions through 0.07 for Perl allow metric injections. DataDog::DogStatsd does not properly sanitise input, allowing metric injections of data from untrusted sources. The send_stats method does not remove newlines from metric names ($stat variable), allowing attackers to change the…

more

metric name prefix. The send_stats method does not validate the content of the value ($delta variable), allowing attackers to inject metrics, especially from methods that do not restrict the data type for the value, such as set, gauge, count and histogram. The send_stats method does not validate the content of the tags, which may contain newlines, pipes and colons that allow metric injections. Note that the SYNOPSIS shows an example of passing a website form "loginName" parameter as a tag, which is unsafe.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1659 Content Injection Initial Access
Adversaries may gain access and continuously communicate with victims by injecting malicious content into systems through online network traffic.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2026-11362Same product: Binary Datadog\
CVE-2026-46740Shared CWE-150, CWE-93
CVE-2026-46741Shared CWE-150, CWE-93
CVE-2026-8788Shared CWE-150, CWE-93
CVE-2026-23829Shared CWE-150, CWE-93
CVE-2026-50638Shared CWE-150, CWE-93
CVE-2026-50639Shared CWE-150, CWE-93
CVE-2026-11373Shared CWE-150, CWE-93
CVE-2026-46719Shared CWE-150, CWE-93
CVE-2026-46739Shared CWE-150, CWE-93

Affected Assets

binary
datadog\
\

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.2.10
  • V1.3.12
  • V4.2.4

Mitigating Controls (NIST 800-53 r5) AI

Input validation directly stops untrusted data containing CRLF sequences from reaching the component that treats CRLF as a delimiter.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require input neutralization and validation to block CRLF injection.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

finds

Security testing can detect CRLF flaws but does not itself implement the neutralization.

prevents

Secure development lifecycle mandates input validation and output encoding that directly prevents CRLF injection.

prevents

Application security requirements include rules for neutralizing special characters such as CRLF in inputs.

prevents

Secure architecture principles encourage safe handling of untrusted data but do not prescribe specific CRLF controls.

prevents

Secure coding standards explicitly require neutralization of CRLF sequences, fully addressing this weakness.

References