| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in GLPI up to 10.0.2. It has been rated as critical. This impacts an unknown function of the component API. Performing a manipulation results in sql injection. This vulnerability is known as CVE-2022-35947. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.
Details
A vulnerability was found in GLPI up to 10.0.2 (Asset Management Software). It has been classified as critical. This affects an unknown function of the component API. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
GLPI stands for Gestionnaire Libre de Parc Informatique and is a Free Asset and IT Management Software package, that provides ITIL Service Desk features, licenses tracking and software auditing. Affected versions have been found to be vulnerable to a SQL injection attack which an attacker could leverage to simulate an arbitrary user login. Users are advised to upgrade to version 10.0.3. Users unable to upgrade should disable the `Enable login with external token` API configuration.
The weakness was published 09/15/2022 as GHSA-7p3q-cffg-c8xh. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-35947 since 07/15/2022. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
Upgrading to version 10.0.3 eliminates this vulnerability. Applying the patch 564309d2c1180d5ba1615f4bbaf6623df81b4962 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 9.0VulDB Meta Temp Score: 8.9
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CNA Base Score: 10.0
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: GLPI 10.0.3
Patch: 564309d2c1180d5ba1615f4bbaf6623df81b4962
Timeline
07/15/2022 🔍09/15/2022 🔍
09/15/2022 🔍
10/17/2022 🔍
Sources
Advisory: GHSA-7p3q-cffg-c8xhStatus: Confirmed
CVE: CVE-2022-35947 (🔍)
GCVE (CVE): GCVE-0-2022-35947
GCVE (VulDB): GCVE-100-208635
Entry
Created: 09/15/2022 07:51Updated: 10/17/2022 15:33
Changes: 09/15/2022 07:51 (53), 10/17/2022 15:33 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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