Comparison Overview
MyGlamm | Good Glamm Group

MyGlamm | Good Glamm Group
Juhu Road, Mumbai, 400049, IN
Last Update: 04/03/2026
MyGlamm is India’s fastest growing direct-to-consumer beauty brand. MyGlamm embraces the philosophy of building a community with its users, engaging with them and eventually co-creating products with them. In July 2020, MyGlamm acquired POPxo making the MyGlamm - POPxo ...

Myntra
Devarabeesanahalli Main Road, Bengaluru, Karnataka, IN, 560103
Last Update: 13/09/2026
At Myntra, we don’t just follow fashion - we define it. As India's leading fashion, lifestyle, and beauty destination, we bring together the best of style, technology, and innovation to create a seamless shopping experience for our customers. With a commitment to empow...
Compliance Ranges Comparison

MyGlamm | Good Glamm Group







Myntra






Benchmark & Cyber Underwriting Signals
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for MyGlamm | Good Glamm Group in 2026.
Incidents vs Technology, Information and Internet Industry Avg (This Year)
No incidents recorded for Myntra in 2026.
Incident History - MyGlamm | Good Glamm Group (X = Date, Y = Severity)
MyGlamm | Good Glamm Group cyber incidents detection timeline including parent company and subsidiaries.
Incident History - Myntra (X = Date, Y = Severity)
Myntra cyber incidents detection timeline including parent company and subsidiaries.
Notable Incidents

MyGlamm | Good Glamm Group

Myntra
FAQ
Latest Global CVEs
A vulnerability was determined in xuxueli xxl-job up to 3.5.0. The impacted element is an unknown function of the file /jobgroup/insert. This manipulation of the argument Name causes cross site scripting. The attack can be initiated remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.
A vulnerability was found in Moore Threads MTT S80 Driver Package 340.150. The affected element is the function sub_140006F0C in the library mtdispkm64.sys of the component IOCTL Handler. The manipulation results in improper privilege management. Attacking locally is a requirement. The vendor was contacted early about this disclosure but did not respond in any way.
vLLM Mooncake connector through 0.29.0 fails to properly manage GPU KV cache block ownership when concurrent child requests share a single transfer ID in prefill/decode disaggregated deployments. Attackers can trigger GPU memory exhaustion by submitting completion requests with multiple prompts, causing orphaned KV cache blocks to accumulate until process restart and eventually preventing legitimate requests from executing.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1978-L1989
- https://github.com/vllm-project/vllm/pull/49796
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-gpu-kv-cache-leak-via-mooncake-transfer-id-collision
vLLM through 0.29.0 fails to validate the tp_size parameter in kv_transfer_params on OpenAI-compatible completion endpoints, allowing attackers to allocate unbounded memory. Attackers can supply arbitrary tp_size values in prefill/decode disaggregated deployments to exhaust memory and trigger kernel OOM-kill of the decode worker process.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/utils.py#L569-L573
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/nixl/metadata.py#L277
- https://github.com/vllm-project/vllm/pull/51137
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-memory-exhaustion-via-unvalidated-nixl-tp-size
vLLM through 0.29.0 contains a resource exhaustion vulnerability in MooncakeConnector where rejected prefill requests create ownerless transfer placeholders that are never reclaimed. Attackers can send rejected requests to exhaust sender task pools, causing valid requests to be delayed by up to 480 seconds while health checks continue returning success.
- https://github.com/vllm-project/vllm
- https://github.com/vllm-project/vllm/blob/v0.29.0/vllm/distributed/kv_transfer/kv_connector/v1/mooncake/mooncake_connector.py#L1234-L1242
- https://github.com/vllm-project/vllm/pull/51236
- https://www.vulncheck.com/advisories/vllm-through-0.29.0-resource-exhaustion-via-ownerless-mooncake-transfer-placeholders