VDB-94747 · CVE-2015-1000003 · BID 97106

filedownload Plugin 1.4 on WordPress Blind sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
8.5$0-$5k0.00

Summaryinfo

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.

Detailsinfo

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.

Productinfo

Type

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

Name: Blind
Class: 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: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

07/11/2015 🔍
06/07/2016 +332 days 🔍
06/10/2016 +3 days 🔍
10/06/2016 +118 days 🔍
10/06/2016 +0 days 🔍
01/01/2017 +87 days 🔍
07/23/2019 +933 days 🔍

Sourcesinfo

Advisory: vapidlabs.com
Researcher: 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: 🔍

Entryinfo

Created: 01/01/2017 10:02
Updated: 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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