VDB-99443 · CVE-2017-7581 · Qualys 11789

News Module up to 5.3.2 on TYPO3 NewsController.php overwriteDemand/OrderByAllowed sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.5$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in News Module up to 5.3.2 on TYPO3. This vulnerability affects unknown code of the file NewsController.php. The manipulation of the argument overwriteDemand/OrderByAllowed leads to sql injection. This vulnerability is listed as CVE-2017-7581. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability, which was classified as critical, has been found in News Module up to 5.3.2 on TYPO3. This issue affects an unknown functionality of the file NewsController.php. The manipulation of the argument overwriteDemand/OrderByAllowed with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

SQL injection vulnerability in NewsController.php in the News module 5.3.2 and earlier for TYPO3 allows unauthenticated users to execute arbitrary SQL commands via vectors involving overwriteDemand for order and OrderByAllowed.

The bug was discovered 04/10/2017. The weakness was presented 04/07/2017 (Website). It is possible to read the advisory at ambionics.io. The identification of this vulnerability is CVE-2017-7581 since 04/07/2017. 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 attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is declared as highly functional. By approaching the search of inurl:NewsController.php it is possible to find vulnerable targets with Google Hacking. The commercial vulnerability scanner Qualys is able to test this issue with plugin 11789 (TYPO3 News System Extension overrideDemand SQL Injection Vulnerability).

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

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.5
VulDB Meta Temp Score: 8.5

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

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Highly functional
Google Hack: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Qualys ID: 🔍
Qualys Name: 🔍

MetaSploit ID: typo3_news_module_sqli.rb
MetaSploit Name: TYPO3 News Module SQL Injection
MetaSploit File: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/07/2017 🔍
04/07/2017 +0 days 🔍
04/07/2017 +0 days 🔍
04/08/2017 +1 days 🔍
04/10/2017 +2 days 🔍
04/24/2025 +2936 days 🔍

Sourcesinfo

Advisory: ambionics.io
Status: Not defined

CVE: CVE-2017-7581 (🔍)
GCVE (CVE): GCVE-0-2017-7581
GCVE (VulDB): GCVE-100-99443
OSVDB: - CVE-2017-7581 - TYPO3 - SQL Injection Issue

Entryinfo

Created: 04/08/2017 10:25
Updated: 04/24/2025 03:58
Changes: 04/08/2017 10:25 (59), 08/27/2020 16:17 (2), 08/23/2024 22:54 (17), 04/24/2025 03:58 (2)
Complete: 🔍
Cache ID: 216::103

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

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