| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in filedownload Plugin 1.4 on WordPress. This issue affects some unknown processing. This manipulation causes sql injection (Blind). This vulnerability is tracked as CVE-2015-1000003. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability has been found in filedownload Plugin 1.4 on WordPress (WordPress Plugin) and classified as critical. Affected by this vulnerability is some unknown functionality. The manipulation with an unknown input leads to a sql injection vulnerability (Blind). 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:
Blind SQL Injection in filedownload v1.4 wordpress plugin
The bug was discovered 07/11/2015. The weakness was disclosed 10/06/2016 by Larry W. Cashdollar (Website). It is possible to read the advisory at vapidlabs.com. This vulnerability is known as CVE-2015-1000003 since 06/07/2016. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. 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.
The vulnerability was handled as a non-public zero-day exploit for at least 453 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 SecurityFocus (BID 97106†). The entries VDB-94746 and VDB-94748 are pretty similar. 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: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
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: 🔍
NVD Base Score: 🔍
Exploiting
Name: BlindClass: Sql injection / Blind
CWE: 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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
07/11/2015 🔍06/07/2016 🔍
06/10/2016 🔍
10/06/2016 🔍
10/06/2016 🔍
01/01/2017 🔍
07/23/2019 🔍
Sources
Advisory: vapidlabs.comResearcher: Larry W. Cashdollar
Status: Not defined
CVE: CVE-2015-1000003 (🔍)
GCVE (CVE): GCVE-0-2015-1000003
GCVE (VulDB): GCVE-100-94747
SecurityFocus: 97106 - WordPress Filedownload Plugin CVE-2015-1000003 SQL Injection Vulnerability
See also: 🔍
Entry
Created: 01/01/2017 10:02Updated: 07/23/2019 16:41
Changes: 01/01/2017 10:02 (59), 07/23/2019 16:41 (5)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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