Library Management System 1.0 Search for Books sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Library Management System 1.0 and classified as critical. This issue affects some unknown processing of the component Search for Books. This manipulation causes sql injection. This vulnerability is registered as CVE-2018-18796. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability classified as critical was found in Library Management System 1.0 (Library Management System Software). Affected by this vulnerability is an unknown part of the component Search for Books. The manipulation with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Library Management System 1.0 has SQL Injection via the "Search for Books" screen.
The bug was discovered 10/29/2018. The weakness was published 11/16/2018 as EDB-ID 45706 as confirmed exploit (Exploit-DB). It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2018-18796 since 10/28/2018. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details are unknown but a public exploit is available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
A public exploit has been developed by Ihsan Sencan and been published even before and not after the advisory. It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 18 days. During that time the estimated underground price was around $0-$5k.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at Exploit-DB (45706). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: Ihsan Sencan
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
10/28/2018 🔍10/29/2018 🔍
10/29/2018 🔍
10/29/2018 🔍
11/16/2018 🔍
11/16/2018 🔍
11/17/2018 🔍
04/13/2020 🔍
Sources
Advisory: EDB-ID 45706Status: Confirmed
CVE: CVE-2018-18796 (🔍)
GCVE (CVE): GCVE-0-2018-18796
GCVE (VulDB): GCVE-100-126955
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 11/17/2018 11:18Updated: 04/13/2020 18:10
Changes: 11/17/2018 11:18 (65), 04/13/2020 18:10 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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