ithewei libhv ithewei/libhv response splitting

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.5$0-$5k0.00

Summaryinfo

A vulnerability was found in ithewei libhv. It has been classified as problematic. This affects an unknown function in the library ithewei/libhv. The manipulation leads to response splitting. This vulnerability is referenced as CVE-2023-26147. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability was found in ithewei libhv (unknown version). It has been rated as problematic. This issue affects an unknown code block in the library ithewei/libhv. The manipulation with an unknown input leads to a response splitting vulnerability. Using CWE to declare the problem leads to CWE-113. The product receives data from an HTTP agent/component (e.g., web server, proxy, browser, etc.), but it does not neutralize or incorrectly neutralizes CR and LF characters before the data is included in outgoing HTTP headers. Impacted is integrity. The summary by CVE is:

All versions of the package ithewei/libhv are vulnerable to HTTP Response Splitting when untrusted user input is used to build headers values. An attacker can add the \r\n (carriage return line feeds) characters to end the HTTP response headers and inject malicious content, like for example additional headers or new response body, leading to a potential XSS vulnerability.

The weakness was published 09/29/2023. It is possible to read the advisory at gist.github.com. The identification of this vulnerability is CVE-2023-26147 since 02/20/2023. 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 10/22/2023).

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

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.6
VulDB Meta Temp Score: 5.5

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 6.1
NVD Vector: 🔍

CNA Base Score: 5.3
CNA Vector (Snyk): 🔍

CVSSv2info

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

Exploitinginfo

Class: Response splitting
CWE: CWE-113 / CWE-93 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

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

02/20/2023 🔍
09/29/2023 +220 days 🔍
09/29/2023 +0 days 🔍
10/22/2023 +23 days 🔍

Sourcesinfo

Advisory: gist.github.com
Status: Not defined

CVE: CVE-2023-26147 (🔍)
GCVE (CVE): GCVE-0-2023-26147
GCVE (VulDB): GCVE-100-240875

Entryinfo

Created: 09/29/2023 07:31
Updated: 10/22/2023 08:57
Changes: 09/29/2023 07:31 (47), 10/22/2023 08:57 (11)
Complete: 🔍
Cache ID: 216::103

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

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