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Malaysia’s former army chief charged with money laundering in defense scandal
The Anti-Corruption Commission charged two former top military commanders amid a probe that seized over RM52 million and arrested 23 people for procurement-related corruption.
- The MACC said it has obtained consent from the Attorney-General to charge Tan Sri Muhammad Hafizuddeain Jantan, Salwani Anuar, and Tan Sri Mohd Nizam Jaafar, with court appearances scheduled for Jan 22 and Jan 23.
- The investigation began last month after complaints alleging bribery, irregularities and cartel-like behaviour in military procurement contracts, while Prime Minister Anwar Ibrahim last week ordered a procurement freeze and tighter scrutiny to bolster the domestic supply chain.
- The former army chief will face charges including 4 counts under Section 4 of the AMLATFPUAA 2001 at the Kuala Lumpur Special Corruption Court, the MACC said.
- Investigators have raided firms suspected of collusion, arrested senior officers, and seized millions of ringgit in cash, luxury goods, and frozen bank accounts, and the MACC said papers on two other senior Armed Forces officers will be submitted soon.
- This case is notable because it targets former chiefs of the army and defence forces, believed to be the first prosecutions at this level, and Anwar Ibrahim warned of `songlap` and `sakau` while the MACC said it remains committed to addressing corruption.
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Malaysian ex-army chief, wife charged with corruption
KUALA LUMPUR — A Malaysian former army chief and his wife were charged on Thursday with money laundering in a case stemming from a sweeping graft probe into military procurement that has also snared other top officers.
·Manila, Philippines
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The former Malaysian army chief and his third wife appeared in court to face charges of money laundering totaling nearly 2.2 million ringgit, as they become targets in a major crackdown on corruption within the military.
Coverage Details
Total News Sources24
Leaning Left4Leaning Right6Center10Last UpdatedBias Distribution50% Center
Bias Distribution
- 50% of the sources are Center
50% Center
L 20%
C 50%
R 30%
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