What is the official website of Al Mansour Auto EA (Tanzania) Ltd. ?

The official website of Al Mansour Auto EA (Tanzania) Ltd. is https://mactanzania.com/.

What is Al Mansour Auto EA (Tanzania) Ltd.'s cybersecurity risk score?

Al Mansour Auto EA (Tanzania) Ltd. has an AI-generated cybersecurity risk score of 744 out of 1000, indicating a Moderate security posture according to Rankiteo's assessment.

How many security incidents has Al Mansour Auto EA (Tanzania) Ltd. experienced?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Al Mansour Auto EA (Tanzania) Ltd. been affected by any supply chain cyber incidents ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Al Mansour Auto EA (Tanzania) Ltd. have SOC 2 Type 1 certification ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. is not certified under SOC 2 Type 1.

Does Al Mansour Auto EA (Tanzania) Ltd. have SOC 2 Type 2 certification ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. does not hold a SOC 2 Type 2 certification.

Does Al Mansour Auto EA (Tanzania) Ltd. comply with GDPR ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. is not listed as GDPR compliant.

Does Al Mansour Auto EA (Tanzania) Ltd. have PCI DSS certification ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. does not currently maintain PCI DSS compliance.

Does Al Mansour Auto EA (Tanzania) Ltd. comply with HIPAA ?

According to Rankiteo, Al Mansour Auto EA (Tanzania) Ltd. is not compliant with HIPAA regulations.

Does Al Mansour Auto EA (Tanzania) Ltd. have ISO 27001 certification ?

According to Rankiteo,Al Mansour Auto EA (Tanzania) Ltd. is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Al Mansour Auto EA (Tanzania) Ltd. operate in ?

Al Mansour Auto EA (Tanzania) Ltd. operates primarily in the Motor Vehicle Manufacturing industry.

How many employees does Al Mansour Auto EA (Tanzania) Ltd. have ?

Al Mansour Auto EA (Tanzania) Ltd. employs approximately 4 people worldwide.

Does Al Mansour Auto EA (Tanzania) Ltd. own any subsidiaries ?

Al Mansour Auto EA (Tanzania) Ltd. presently has no subsidiaries across any sectors.

How many LinkedIn followers does Al Mansour Auto EA (Tanzania) Ltd. have ?

Al Mansour Auto EA (Tanzania) Ltd.'s official LinkedIn profile has approximately 331 followers.

Does Al Mansour Auto EA (Tanzania) Ltd. have a Crunchbase profile ?

No, Al Mansour Auto EA (Tanzania) Ltd. does not have a profile on Crunchbase.

Does Al Mansour Auto EA (Tanzania) Ltd. have a LinkedIn profile ?

Yes, Al Mansour Auto EA (Tanzania) Ltd. maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/mac-tanzania.

How many cybersecurity incidents has Al Mansour Auto EA (Tanzania) Ltd. experienced ?

As of August 16, 2026, Rankiteo reports that Al Mansour Auto EA (Tanzania) Ltd. has not experienced any cybersecurity incidents.

How many peer or competitor companies does Al Mansour Auto EA (Tanzania) Ltd. have ?

Al Mansour Auto EA (Tanzania) Ltd. has an estimated 13,029 peer or competitor companies worldwide.

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AMAEL

Boost Score +25 with badge (5 left)

744

/1000

Moderate

769

/1000

Fair

Al Mansour Auto EA (Tanzania) Ltd. Vendor Cyber Rating & Cyber Score

mactanzania.com

Add Your Compliance Badge

Al Mansour Tanzania a 100% subsidiary of MAC Trading FZE is the exclusive distributor for Isuzu range of products (Pickup, SUV, Truck, Bus) in Tanzania. We stared our operations in Dar Es Salaam, Tanzania from July 2020 with the state-of-art 3S facility on the Nyerere Road in Dar Es Salaam with a team of 25 highly motivated and energized members.

AMAEL A.I CyberSecurity Scoring

Scoring History

AMAEL

Al Mansour Auto EA (Tanzania) Ltd. CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

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No data available

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A.I.

AMAEL Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for AMAEL

Incidents vs Motor Vehicle Manufacturing Industry Avg (This Year)

No incidents recorded for Al Mansour Auto EA (Tanzania) Ltd. in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Al Mansour Auto EA (Tanzania) Ltd. in 2026.

Incident Types AMAEL vs Motor Vehicle Manufacturing Industry Avg (This Year)

No incidents recorded for Al Mansour Auto EA (Tanzania) Ltd. in 2026.

Incident History - AMAEL (X = Date, Y = Severity)

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SUBSIDIARY

Al Mansour Auto EA (Tanzania) Ltd. Subsidiaries

AMAEL

Motor Vehicle Manufacturing

Website: https://mactanzania.com/

Company Size: 4

Al-Mansour AutomotiveMotor Vehicle Manufacturing

Mansour GroupFinancial Services

Al-Mansour Iraqi Automotive Co.Motor Vehicle Manufacturing

MAC Autos & Spare Parts Ghana LtdMotor Vehicle Manufacturing

MG AUTO TRADING COMPANYAutomation Machinery Manufacturing

Mantra Motorbike East Africa LtdMotor Vehicle Manufacturing

Mac East Africa LimitedMotor Vehicle Manufacturing

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NEWS

Al Mansour Auto EA (Tanzania) Ltd. CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-19917

SUMMARY

A flaw has been found in code-projects Online Food Order System 1.0. The impacted element is an unknown function of the file delete_food_items1.php. Executing a manipulation of the argument checkbox can lead to sql injection. The attack can be executed remotely. The exploit has been published and may be used.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 6.3)

cvss2

Base Score: 6.5

Complexity: LOW

AV:N/AC:L/Au:S/C:P/I:P/A:P

cvss3

Base Score: 6.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

cvss4

Base Score: 2.1

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.4

Exploitability

2.8

REFERENCES

CVE-2026-74767

SUMMARY

Pandora contains a denial-of-service vulnerability in its handling of DAA (Direct Access Archive) files. When extracting the internal ISO image from a DAA archive, compressed chunks were decompressed using zlib.decompress() without enforcing a limit on the resulting uncompressed data. An attacker able to submit a crafted DAA file containing highly compressed data could cause Pandora to decompress a relatively small input into a very large amount of data in memory. Because the decompressed chunks are accumulated to construct the internal ISO image, this could result in excessive memory consumption and potentially CPU exhaustion, causing the extraction worker to become unresponsive, terminate, or affect the availability of the Pandora service. The patch introduces bounded decompression using decompressobj().decompress() with max_extracted_filesize, verifies the cumulative size of decompressed chunks, and raises a dedicated ZipBomb exception when the configured limit is exceeded. Pandora then aborts extraction and reports the file as too large.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: )

cvss4

Base Score: 8.7

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

https://github.com/pandora-analysis/pandora/commit/f4294a873f86fbf2569c289e329fff2f52ca50c9

CVE-2026-74764

SUMMARY

Pandora contains a path traversal vulnerability in its TAR archive extraction functionality. When processing a submitted TAR archive, the extractor passed archive member names directly to Python's tarfile.TarFile.extract() without applying an extraction filter. An attacker able to submit a specially crafted TAR archive containing malicious member paths, such as paths using ../ sequences or absolute paths, could cause extracted files to be written outside the intended extraction directory. This may allow the attacker to overwrite files accessible to the Pandora worker process and could potentially result in application compromise, arbitrary code execution, or denial of service depending on the files targeted and the privileges of the Pandora process. The vulnerability is corrected by using Python's filter='data' extraction filter, which rejects or sanitizes dangerous TAR members, including paths that escape the destination directory and unsafe link targets. The weakness corresponds to MITRE's general path traversal category, which includes archive extraction cases where attacker-controlled filenames cause files to be written outside the intended directory.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: )

cvss4

Base Score: 10.0

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

https://github.com/pandora-analysis/pandora/commit/186b58d41e04248a154d274fffb5813e7fa2012e

CVE-2026-73055

SUMMARY

Shescape before 2.1.15 (and 3.0.0 before 3.0.2) fails to properly escape tilde (~) characters in assignment contexts on Unix systems where the shell is explicitly configured to "sh" or true and /bin/sh points to BusyBox. Using the escape and escapeAll APIs with untrusted input in an assignment prefixed to a command, an attacker can inject a tilde payload to disclose the user's home directory location and, depending on usage, alter the location on which a command operates.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 4.8)

cvss3

Base Score: 4.8

Complexity: HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N

cvss4

Base Score: 9.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

2.5

Exploitability

2.2

REFERENCES

CVE-2026-73054

SUMMARY

SiYuan versions before v3.7.4 contain an authentication bypass vulnerability in the WebSocket endpoint caused by differential parsing of query parameters between authentication exemption and session quarantine checks. Unauthenticated attackers can craft a malicious WebSocket URI with duplicated query parameters to bypass access auth code validation and receive the live kernel event stream including document identifiers, titles, and operation logs.

Published

Date2026-08-15

Updated

Date2026-08-15

RISK INFORMATION (Score: 7.5)

cvss3

Base Score: 7.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

cvss4

Base Score: 8.7

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

3.6

Exploitability

3.9

REFERENCES

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