BINARY DataDog::DogStatsd up to 0.07 on Perl send_stats stat crlf injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.3$0-$5k3.49

Summaryinfo

A vulnerability marked as critical has been reported in BINARY DataDog::DogStatsd up to 0.07 on Perl. Affected is the function send_stats. The manipulation of the argument stat leads to crlf injection. This vulnerability is traded as CVE-2026-9270. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability, which was classified as critical, has been found in BINARY DataDog::DogStatsd up to 0.07 on Perl. This issue affects the function send_stats. The manipulation of the argument stat with an unknown input leads to a crlf injection vulnerability. Using CWE to declare the problem leads to CWE-93. The product uses CRLF (carriage return line feeds) as a special element, e.g. to separate lines or records, but it does not neutralize or incorrectly neutralizes CRLF sequences from inputs. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

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 ($stat variable), allowing attackers to change the metric name prefix. The send_stats method does not validate the content of the value ($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.

The identification of this vulnerability is CVE-2026-9270 since 05/22/2026. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/05/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.3

VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Crlf injection
CWE: CWE-93 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/22/2026 CVE reserved
06/05/2026 +14 days Advisory disclosed
06/05/2026 +0 days VulDB entry created
06/05/2026 +0 days VulDB entry last update

Sourcesinfo

Status: Not defined

CVE: CVE-2026-9270 (🔒)
GCVE (CVE): GCVE-0-2026-9270
GCVE (VulDB): GCVE-100-368939

Entryinfo

Created: 06/05/2026 18:50
Changes: 06/05/2026 18:50 (55)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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