FAA US Academy WebSite Login Username/Password sql injection

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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.
6.3$0-$5k0.00

Summaryinfo

A vulnerability has been found in FAA US Academy WebSite and classified as critical. The affected element is an unknown function of the component Login. This manipulation of the argument Username/Password with the input 'or 1=1-- causes sql injection. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. To fix this issue, it is recommended to deploy a patch.

Detailsinfo

A vulnerability was found in FAA US Academy WebSite (the affected version unknown). It has been declared as critical. Affected by this vulnerability is an unknown part of the component Login. The manipulation of the argument Username/Password with the input value 'or 1=1-- 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 weakness was shared 01/27/2012 as VL-ID 171 as not defined advisory (Website). It is possible to read the advisory at vulnerability-lab.com. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

After immediately, there has been an exploit disclosed. It is possible to download the exploit at vulnerability-lab.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 354 days. During that time the estimated underground price was around $0-$5k.

Applying a patch is able to eliminate this problem.

The entries VDB-91335, VDB-91336, VDB-91337 and VDB-91338 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 6.3

VulDB Base Score: 7.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

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

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Timelineinfo

02/07/2011 🔍
01/27/2012 +354 days 🔍
01/27/2012 +0 days 🔍
09/08/2016 +1686 days 🔍
04/11/2019 +945 days 🔍

Sourcesinfo

Advisory: VL-ID 171
Status: Not defined

GCVE (VulDB): GCVE-100-91339
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 09/08/2016 09:07
Updated: 04/11/2019 17:59
Changes: 09/08/2016 09:07 (46), 04/11/2019 17:59 (1)
Complete: 🔍
Cache ID: 216::103

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

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