VDB-11340 · OSVDB 100442 · GCVE-100-11340

D-Link DAP 1522 Default Credentials improper authentication

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 (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
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.
7.7$0-$5k0.00

Summaryinfo

A vulnerability classified as critical was found in D-Link DAP 1522. Affected is an unknown function of the component Default Credentials. The manipulation results in improper authentication. Furthermore, an exploit is available.

Detailsinfo

A vulnerability classified as critical has been found in D-Link DAP 1522 (version unknown). Affected is an unknown function of the component Default Credentials. The manipulation with an unknown input leads to a improper authentication vulnerability. CWE is classifying the issue as CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. This is going to have an impact on integrity, and availability.

The weakness was published 11/27/2013 by Matteo Ignaccolo as D-Link! What's wrong with you? as confirmed mailinglist post (Full-Disclosure). The advisory is shared for download at seclists.org. The public release happened without coordination with the vendor. The exploitability is told to be easy. It is possible to launch the attack remotely. The successful exploitation requires a authentication. Technical details are unknown but a public exploit is available.

After immediately, there has been an exploit disclosed. The exploit is shared for download at h725.co.vu. It is declared as proof-of-concept. As 0-day the estimated underground price was around $5k-$25k.

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 OSVDB (100442†). Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

Name

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 8.1
VulDB Meta Temp Score: 7.7

VulDB Base Score: 8.1
VulDB Temp Score: 7.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Improper authentication
CWE: CWE-287
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: no mitigation known
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Timelineinfo

11/27/2013 🔍
11/27/2013 +0 days 🔍
12/03/2013 +6 days 🔍
03/23/2019 +1936 days 🔍

Sourcesinfo

Vendor: dlink.com

Advisory: D-Link! What's wrong with you?
Researcher: Matteo Ignaccolo
Status: Confirmed

GCVE (VulDB): GCVE-100-11340
OSVDB: 100442

Entryinfo

Created: 12/03/2013 09:25
Updated: 03/23/2019 15:42
Changes: 12/03/2013 09:25 (44), 03/23/2019 15:42 (1)
Complete: 🔍
Committer:
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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