DMitry 1.3a on Unix memory corruption

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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7.7$0-$5k0.00

Summaryinfo

A vulnerability marked as critical has been reported in DMitry 1.3a on Unix. Affected by this vulnerability is an unknown functionality. Performing a manipulation results in memory corruption. This vulnerability is cataloged as CVE-2017-7938. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability was found in DMitry 1.3a on Unix. It has been classified as critical. This affects an unknown code. The manipulation with an unknown input leads to a memory corruption vulnerability. CWE is classifying the issue as CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

Stack-based buffer overflow in DMitry (Deepmagic Information Gathering Tool) version 1.3a (Unix) allows attackers to cause a denial of service (application crash) or possibly have unspecified other impact via a long argument. An example threat model is automated execution of DMitry with hostname strings found in local log files.

The bug was discovered 04/19/2017. The weakness was shared 04/20/2017 (Website). It is possible to read the advisory at cxsecurity.com. This vulnerability is uniquely identified as CVE-2017-7938 since 04/18/2017. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details are unknown but a public exploit is available.

The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k. The vulnerability scanner Nessus provides a plugin with the ID 209532 (Debian dla-3933 : dmitry - security update), which helps to determine the existence of the flaw in a target environment.

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 databases at Exploit-DB (41898) and Tenable (209532). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.9
VulDB Meta Temp Score: 7.8

VulDB Base Score: 7.3
VulDB Temp Score: 6.9
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CNA Base Score: 6.6
CNA Vector: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

NVD Base Score: 🔍

Exploitinginfo

Class: Memory corruption
CWE: CWE-119
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 209532
Nessus Name: Debian dla-3933 : dmitry - security update

Exploit-DB: 🔍

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

04/18/2017 🔍
04/19/2017 +1 days 🔍
04/20/2017 +1 days 🔍
04/20/2017 +0 days 🔍
04/21/2017 +1 days 🔍
10/23/2024 +2742 days 🔍

Sourcesinfo

Advisory: 142210
Status: Not defined

CVE: CVE-2017-7938 (🔍)
GCVE (CVE): GCVE-0-2017-7938
GCVE (VulDB): GCVE-100-100419
OSVDB: - CVE-2017-7938 - DMitry - Buffer Overflow Issue

scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 04/21/2017 10:17
Updated: 10/23/2024 18:58
Changes: 04/21/2017 10:17 (56), 09/19/2020 10:17 (5), 12/01/2022 16:30 (4), 07/03/2024 06:47 (26), 07/03/2024 13:42 (7), 10/23/2024 18:58 (4)
Complete: 🔍
Cache ID: 216:1FD:103

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

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