ObiHai ObiPhone 1032/ObiPhone 1062 prior 5.0.0 Build 3497 HTTP Header Content-Length null pointer dereference

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.8$0-$5k0.00

Summaryinfo

A vulnerability was found in ObiHai ObiPhone 1032 and ObiPhone 1062. It has been rated as problematic. This affects an unknown function of the component HTTP Header Handler. The manipulation of the argument Content-Length with the input -1 leads to null pointer dereference. In addition, an exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in ObiHai ObiPhone 1032 and ObiPhone 1062 and classified as problematic. This issue affects an unknown function of the component HTTP Header Handler. The manipulation of the argument Content-Length with the input value -1 leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability.

The weakness was presented 08/18/2016 by David Tomaschik with Google Security Team as ObiHai ObiPhone - Multiple Vulnerabilities as confirmed mailinglist post (Full-Disclosure). It is possible to read the advisory at seclists.org. The public release was coordinated in cooperation with ObiHai. The mailinglist post contains:

Multiple vulnerabilities were discovered in the web management interface of the ObiHai ObiPhone products. The Vulnerabilities were discovered during a black box security assessment and therefore the vulnerability list should not be considered exhaustive.
The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known.

A public exploit has been developed by David Tomaschik in HTTP GET Request and been published immediately after the advisory. The exploit is available at seclists.org. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 98 days. During that time the estimated underground price was around $0-$5k. The code used by the exploit is:

POST / HTTP/1.1
Host: foo
Content-Length: -1

Upgrading to version 5.0.0 Build 3497 eliminates this vulnerability.

See VDB-90915, VDB-90916, VDB-90917 and VDB-90918 for similar entries. 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: 5.3
VulDB Meta Temp Score: 4.8

VulDB Base Score: 5.3
VulDB Temp Score: 4.8
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: Null pointer dereference
CWE: CWE-476 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Author: David Tomaschik
Programming Language: 🔍
Download: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍
Exploit Delay Time: 🔍

Upgrade: ObiPhone 1032/ObiPhone 1062 5.0.0 Build 3497

Timelineinfo

05/12/2016 🔍
05/12/2016 +0 days 🔍
08/18/2016 +98 days 🔍
08/18/2016 +0 days 🔍
08/23/2016 +5 days 🔍
08/23/2016 +0 days 🔍

Sourcesinfo

Advisory: ObiHai ObiPhone - Multiple Vulnerabilities
Researcher: David Tomaschik
Organization: Google Security Team
Status: Confirmed
Coordinated: 🔍

GCVE (VulDB): GCVE-100-90923
scip Labs: https://www.scip.ch/en/?labs.20161013
See also: 🔍

Entryinfo

Created: 08/23/2016 16:58
Updated: 08/23/2016 17:07
Changes: 08/23/2016 16:58 (57), 08/23/2016 17:07 (1)
Complete: 🔍
Cache ID: 216::103

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

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